Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data
Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee
[paper]
Unsupervised Doodling and Painting with Improved SPIRAL
John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami
[paper]
Detecting Photoshopped Faces by Scripting Photoshop (ICCV2019)
[project]
Normalizing Flows: Introduction and Ideas
Ivan Kobyzev, Simon Prince, Marcus A. Brubaker
[paper]
Generating High-Resolution Fashion Model Images Wearing Custom Outfits (ICCV2019workshop)
Gökhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann
[paper]
Make a Face: Towards Arbitrary High Fidelity Face Manipulation (ICCV2019)
Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang, Fumin Shen, Chen Qian, Ran He
[paepr]
Boundless: Generative Adversarial Networks for Image Extension
Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman
[paper]
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss (ICCV2019)
Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo
[paper]
[code]
Kaggle Dog Image Generation
[link]
[link]
Towards Multi-pose Guided Virtual Try-on Network
Haoye Dong, Xiaodan Liang, Bochao Wang, Hanjiang Lai, Jia Zhu, Jian Yin
[paper]
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions (ICCV2019)
Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, R. Venkatesh Babu
[paper]
Interactive Subspace Exploration on Generative Image Modelling
Toby Chong Long Hin, I-Chao Shen, Issei Sato, Takeo Igarashi
[paper]
Coherent Semantic Attention for Image Inpainting
Hongyu Liu, Bin Jiang, Yi Xiao, Chao Yang
[paper]
Paired-D GAN for Semantic Image Synthesis (ACCV2018)
Duc Minh Vo and Akihiro Sugimoto
[code]
The Art of Food: Meal Image Synthesis from Ingredients (BMVC2019 under review)
Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
[paper]
Visually-Aware Fashion Recommendation and Design with Generative Image Models (ICDM2019)
Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian McAuley
[paper]
FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment
Jiangning Zhang, Xianfang Zeng, Yusu Pan, Yong Liu, Yu Ding, Changjie Fan
[paper]
Disentangling Style and Content in Anime Illustrations
Sitao Xiang, Hao Li
[paper]
[pytorch]
Decentralized Learning of Generative Adversarial Networks from Multi-Client Non-iid Data
Ryo Yonetani, Tomohiro Takahashi, Atsushi Hashimoto, Yoshitaka Ushiku
[paper]]
COCO-GAN: Generation by Parts via Conditional Coordinating
Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen
[paper]
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks (ICLR2018)
Youngjin Kim, Minjung Kim, Gunhee Kim
[paper]
[code]
Adaptive Composition GAN towards Realistic Image Synthesis
Fangneng Zhan, Jiaxing Huang, Shijian Lu
[paper]
Interactive Image Generation Using Scene Graphs (ICLR2019 workshop)
Gaurav Mittal, Shubham Agrawal, Anuva Agarwal, Sushant Mehta, Tanya Marwah
[paper]
TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation (CVPR2019)
Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy
[paper]
UNDERSTANDING AND IMPROVING INTERPOLATION IN AUTOENCODERS VIA AN ADVERSARIAL REGULARIZER (ICLR2019)
[paper]
SinGAN: Learning a Generative Model from a Single Natural Image
Tamar Rott Shaham, Tali Dekel, Tomer Michaeli
[paper]
Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR2019)
Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee
[paper]
Conditional Adversarial Generative Flow for Controllable Image Synthesis(CVPR2019)
Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li
[paper]
Image Synthesis with a Convolutional Capsule Generative Adversarial Network (ICLR2019)
[paper]
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)
Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang
[paper]
Unsupervised Part-Based Disentangling of Object Shape and Appearance (CVPR2019 oral)
Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer
[paper]
Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN
Ya-Liang Chang, Zhe Yu Liu, Winston Hsu
[paper]
Learning to Paint with Model-based Deep Reinforcement Learning
Zhewei Huang, Wen Heng, Shuchang Zhou
[paper]
[code]
Compatible and Diverse Fashion Image Inpainting
Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry S. Davis
[paper]
Generating Long Sequences with Sparse Transformers
[paper]
HoloGAN: Unsupervised learning of 3D representations from natural images
Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, Yong-Liang Yang
[paper]
Unsupervised Image-to-Image Translation with Self-Attention Networks
Taewon Kang, Kwang Hee Lee
[paper]
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila
[paper]
Image Generation from Small Datasets via Batch Statistics Adaptation
Atsuhiro Noguchi, Tatsuya Harada
[paper]
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen
[paper]
Neural Painters: A learned differentiable constraint for generating brushstroke paintings
Reiichiro Nakano
[paper]
Fashion++: Minimal Edits for Outfit Improvement
Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman
[paper]
Learning to Generate Synthetic Data via Compositing (CVPR2019)
Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari
[paper]
Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes
James Oldfield, Yannis Panagakis, Mihalis A. Nicolaou
[paper]
[code]
Temporal Cycle-Consistency Learning
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
[project]
Video Generation from Single Semantic Label Map (CVPR2019)
Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang
[paper]
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis (CVPR2019)
Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang
[paper]
Predicting Novel Views Using Generative Adversarial Query Network (Scandinavian Conference on Image Analysis 2019)
Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkila
[paper]
Learning Hierarchical Semantic Image Manipulation through Structured Representations
Seunghoon Hong, Xinchen Yan, Thomas Huang, Honglak Lee
[paper]
[pytorch]
A Learned Representation for Scalable Vector Graphics
Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens
[paper]
HYPE: Human eYe Perceptual Evaluation of Generative Models
Sharon Zhou, Mitchell Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein
[paepr]
Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W.Taylor
[paper]
Implicit Generation and Generalization with Energy Based Models
Yilun Du, Igor Mordatch
[project]
[paper]
Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks (ICASSP2019)
Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Tao Xiong, Yuan He, Hui Xue
[paper]
Semantic Image Synthesis with Spatially-Adaptive Normalization (CVPR2019 oral)
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
[paper]
[code]
[project]
Stroke-based Artistic Rendering Agent with Deep Reinforcement Learning
Zhewei Huang, Wen Heng, Shuchang Zhou
[paper]
SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color
Youngjoo Jo, Jongyoul Park
[paper]
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
Nicholas Watters, Loic Matthey, Christopher P. Burgess, Alexander Lerchner
[paper]
Photo-Sketching: Inferring Contour Drawings from Images
[project]
Using Scene Graph Context to Improve Image Generation
Subarna Tripathi, Anahita Bhiwandiwalla, Alexei Bastidas, Hanlin Tang
[paper]
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning
Kamyar Nazeri, Eric Ng, Tony Joseph, Faisal Qureshi, Mehran Ebrahimi
[paper]
[code]
SiCloPe: Silhouette-Based Clothed People
Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma, Hao Li, Shigeo Morishima
[paper]
A Generative Model of People in Clothing
Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler
[paper]
VITON: An Image-based Virtual Try-on Network
Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, Larry S. Davis
[paper]
Animating Arbitrary Objects via Deep Motion Transfer
Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe
[paper]
[code]
IGNOR: Image-guided Neural Object Rendering
[project]
Sequential Attention GAN for Interactive Image Editing via Dialogue
Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao
[paper]
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation (ICLR2019)
[paper]
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras, Samuli Laine, Timo Aila
[paper]
Chat-crowd: A Dialog-based Platform for Visual Layout Composition
[paper]
to collect dataset
SMIT: Stochastic Multi-Label Image-to-Image Translation
Andrés Romero, Pablo Arbeláez, Luc Van Gool, Radu Timofte
[paper]
Visual Object Networks: Image Generation with Disentangled 3D Representation (NeurIPS2018)
[paper]
TGANv2: Efficient Training of Large Models for Video Generation with Multiple Subsampling Layers
Masaki Saito, Shunta Saito
[paper]
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling
Jacob Menick, Nal Kalchbrenner
[paper]
[qiita]
On gradient regularizers for MMD GANs (NeurIPS2018)
Michael Arbel, Dougal J. Sutherland, Mikołaj Bińkowski, Arthur Gretton
[paper]
[code]
Semantic Image Inpainting Through Improved Wasserstein Generative Adversarial Networks
Patricia Vitoria, Joan Sintes, Coloma Ballester
[paper]
Context-aware Synthesis and Placement of Object Instances (NeurIPS2018)
[paper]
Turbo Learning for CaptionBot and DrawingBot (NeurIPS2018)
[paper]
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language (NeurIPS2018)
[paper]
Image Translation to Mixed-Domain using Sym-Parameterized Generative Network
Simyung Chang, SeongUk Park, John Yang, Nojun Kwak
[paper]
Image Generation from Layout
Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal
[paper]
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
[paper]
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba
[project]
[paper]
Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration
Ryohei Suzuki, Masanori Koyama, Takeru Miyato, Taizan Yonetsuji
[paper]
Isolating Sources of Disentanglement in Variational Autoencoders
Ricky T. Q. Chen, Xuechen Li, Roger Grosse, David Duvenaud
[paper]
Text2Scene: Generating Abstract Scenes from Textual Descriptions
Fuwen Tan, Song Feng, Vicente Ordonez
[paper]
SEIGAN: Towards Compositional Image Generation by Simultaneously Learning to Segment, Enhance, and Inpaint
Pavel Ostyakov, Roman Suvorov, Elizaveta Logacheva, Oleg Khomenko, Sergey I. Nikolenko
[paper]
Photorealistic Facial Synthesis in the Dimensional Affect Space
Dimitrios Kollias, Shiyang Cheng, Maja Pantic, Stefanos Zafeiriou
[paper]
Deep Generative Models with Learnable Knowledge Constraints (NeurIPS2018)
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Xiaodan Liang, Lianhui Qin, Haoye Dong, Eric Xing
[paper]
An Introduction to Image Synthesis with Generative Adversarial Nets
He Huang, Philip S. Yu, Changhu Wang
[paper]
Guiding the One-to-one Mapping in CycleGAN via Optimal Transport (AAAI2019)
Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu
[paper]
Improving Shape Deformation in Unsupervised Image-to-Image Translation (ECCV2018)
[paper]
SwapNet: Image Based Garment Transfer (ECCV2018)
[paper]
Generative Semantic Manipulation with Mask-Contrasting GAN (ECCV2018)
[paper]
Unsupervised Holistic Image Generation from Key Local Patches (ECCV2018)
[paper]
CariGANs: Unpaired Photo-to-Caricature Translation (SIGGRAPH Asia2018)
Kaidi Cao, Jing Liao, Lu Yuan
[paper]
Probabilistic Semantic Inpainting with Pixel Constrained CNNs
Emilien Dupont, Suhas Suresha
[paper]
MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation
Wei Tang, Teng Li, Fudong Nian, Meng Wang
[paper]
Learning to Globally Edit Images with Textual Description
Hai Wang, Jason D. Williams, SingBing Kang
[paper]
Multi-Mapping Image-to-Image Translation with Central Biasing Normalization
Xiaoming Yu, Zhenqiang Ying, Thomas Li, Shan Liu, Ge Li
[paper]
CanvasGAN: A simple baseline for text to image generation by incrementally patching a canvas (CVC2019)
Amanpreet Singh, Sharan Agrawal
[paper]
Semantically Invariant Text-to-Image Generation (ICIP2018)
Shagan Sah, Dheeraj Peri, Ameya Shringi, Chi Zhang, Miguel Dominguez, Andreas Savakis, Ray Ptucha
[paper]
Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks
Shing Chan, Ahmed H. Elsheikh
[paper]
Vectorization of Line Drawings via PolyVector Fields
Mikhail Bessmeltsev, Justin Solomon
[paper]
Conditional Image Generation for Learning the Structure of Visual Objects
Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi
[paper]
Dense Pose Transfer (ECCV2018)
Natalia Neverova, Riza Alp Guler, Iasonas Kokkinos
[paper]
LUCSS: Language-based User-customized Colourization of Scene Sketches
Changqing Zou, Haoran Mo, Ruofei Du, Xing Wu, Chengying Gao, Hongbo Fu
[paper]
Memory Replay GANs: learning to generate images from new categories without forgetting (NIPS2018)
Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu
[paper]
Deep Exemplar-based Colorization (SIGGRAPH2018)
Mingming He, Dongdong Chen, Jing Liao, Pedro V. Sander, Lu Yuan
[paper]
[code]
Structural Consistency and Controllability for Diverse Colorization (ECCV2018)
Safa Messaoud, David Forsyth, Alexander G. Schwing
[paper]
Full-body High-resolution Anime Generation with Progressive Structure-conditional Generative Adversarial Networks (ECCV2018 workshop)
Koichi Hamada, Kentaro Tachibana, Tianqi Li, Hiroto Honda, Yusuke Uchida
[paper]
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation (NIPS2018)
Alexander Liu, Yen-Chen Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang
[paper]
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski
[paper]
Learning Hierarchical Semantic Image Manipulation through Structured Representations
Seunghoon Hong, Xinchen Yan, Thomas Huang, Honglak Lee
[paper]
3D-Aware Scene Manipulation via Inverse Graphics
Shunyu Yao, Tzu Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, Bill Freeman, Joshua Tenenbaum
[paper]
画像中の画像を３Dと相互変換→編集に使用
Human-centric Indoor Scene Synthesis Using Stochastic Grammar (CVPR2018)
Siyuan Qi, Yixin Zhu, Siyuan Huang, Chenfanfu Jiang, Song-Chun Zhu
[paper]
室内での3D物体のレイアウトを生成
TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks (ICDM2018)
Xinyue Liu, Xiangnan Kong, Lei Liu, Kuorong Chiang
[paper]
FrankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs
Tom Kelly, Paul Guerrero, Anthony Steed, Peter Wonka, Niloy J. Mitra
[paper]
[project]
Text-to-image Synthesis via Symmetrical Distillation Networks (ACMMM)
Mingkuan Yuan, Yuxin Peng
[paper]
3D-CODED : 3D Correspondences by Deep Deformation (ECCV2018)
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
[paper]
[project]
[code]
Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro
[paper]
[code]
[video]
Unsupervised Attention-guided Image-to-Image Translation
[paper]
Recycle-GAN: Unsupervised Video Retargeting
[paper]
Diverse Image-to-Image Translation via Disentangled Representations (ECCV2018 oral)
Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Kumar Singh, Ming-Hsuan Yang
[paper]
[code]
The Variational Homoencoder: Learning to learn high capacity generative models from few examples
Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi Jaakkola, Joshua B. Tenenbaum
[paper]
How good is my GAN? (ECCV2018)
Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari
[paper]
Predictive and Generative Neural Networks for Object Functionality
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2018)
[project]
Learning to Anonymize Faces for Privacy Preserving Action Detection (ECCV2018) Zhongzheng (Jason) Ren, Yong Jae Lee, Michael S. Ryoo [project]
Natural and Effective Obfuscation by Head Inpainting (CVPR2018)
[paper]
The Variational Homoencoder: Learning to learn high capacity generative models from few examples (UAI2018)
Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi Jaakkola, Joshua B. Tenenbaum
[paper]
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
Huaibo Huang, Zhihang Li, Ran He, Zhenan Sun, Tieniu Tan
[paper]
The relativistic discriminator: a key element missing from standard GAN
Alexia Jolicoeur-Martineau
[paper]
Semi-parametric Image Synthesis (CVPR2018)
Xiaojuan Qi, Qifeng Chen, Jiaya Jia, Vladlen Koltun
[paper]
3D Human Pose Estimation in the Wild by Adversarial Learning (CVPR2018)
Wei Yang, Wanli Ouyang, Xiaolong Wang, Jimmy Ren, Hongsheng Li, Xiaogang Wang
[paper]
Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations
Yasunori Kudo, Keisuke Ogaki, Yusuke Matsui, Yuri Odagiri
[paper]
The Unusual Effectiveness of Averaging in GAN Training
Yasin Yazıcı, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar
[paper]
CapsGAN: Using Dynamic Routing for Generative Adversarial Networks
Raeid Saqur, Sal Vivona
[paper]
Free-Form Image Inpainting with Gated Convolution
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang
[paper]
Generative Adversarial Image Synthesis with Decision Tree Latent Controller (CVPR2018)
[project]
TextureGAN: Controlling Deep Image Synthesis with Texture Patches (CVPR2018)
Wenqi Xian, Patsorn Sangkloy, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu, James Hays
[paper]
DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials)
Shuang Ma, Jianlong Fu, Chang Wen Chen, Tao Mei
[paper]
Self-Attention Generative Adversarial Networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas, Augustus Odena
[paper]
[pytorch]
Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks
Sitao Xiang, Hao Li
[paper]
Synthesizing Programs for Images using Reinforced Adversarial Learning (ICML2018)
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S.M. Ali Eslami, Oriol Vinyals
[paper]
Neural Best-Buddies: Sparse Cross-Domain Correspondence (SIGGRAPH2018)
Kfir Aberman, Jing Liao, Mingyi Shi, Dani Lischinski, Baoquan Chen, Daniel Cohen-Or
[paper]
High-Resolution Image Inpainting Using Multi-Scale Neural Patch Synthesis (CVPR2017)
[project]
[code]]
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings
Amélie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy
[paper]
[dataset]
Semantic Image Synthesis via Adversarial Learning (ICCV2017)
Hao Dong, Simiao Yu, Chao Wu, Yike Guo
[paper]
[code]
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis
Hyojin Park, Youngjoon Yoo, Nojun Kwak
[paper]
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks (ICLR2018)
Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian McAuley
[paper]
Unsupervised Disentangled Representation Learning with Analogical Relations
Zejian Li, Yongchuan Tang, Yongxing He
[paper]
Review for neural style transfer
[link]
Synthesizing Images of Humans in Unseen Poses (CVPR2018)
Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Fredo Durand, John Guttag
[paper]
Image Inpainting for Irregular Holes Using Partial Convolutions
Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro
[paper]
A Variational U-Net for Conditional Appearance and Shape Generation(CVPR2018)
Patrick Esser, Ekaterina Sutter, Björn Ommer
[paper]
[project]
Mix and match networks: encoder-decoder alignment for zero-pair image translation
Yaxing Wang, Joost van de Weijer, Luis Herranz
[paper]
Deep Painterly Harmonization
Fujun Luan, Sylvain Paris, Eli Shechtman, Kavita Bala
[paper]
[code]
DeSIGN: Design Inspiration from Generative Networks
Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie
[paper]
Image Generation from Scene Graphs (CVPR2018)
Justin Johnson, Agrim Gupta, Li Fei-Fei
[paepr]
Learning to write programs that generate images
[project]
Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings
Kevin Chen, Christopher B. Choy, Manolis Savva, Angel X. Chang, Thomas Funkhouser, Silvio Savarese
[paper]
[project]
Learning Category-Specific Mesh Reconstruction from Image Collections
[project]
Hierarchical Video Generation from Orthogonal Information(AAAI2018)
[code]
On Unifying Deep Generative Models
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing
[paper]
Two Birds with One Stone: Transforming and Generating Facial Images with Iterative GAN
Dan Ma, Bin Liu, Zhao Kang, Jiayu Zhou, Jianke Zhu, Zenglin Xu
[paper]
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
Chen-Hsuan Lin, Ersin Yumer, Oliver Wang, Eli Shechtman, Simon Lucey
[paper]
Evolutionary Generative Adversarial Networks
Chaoyue Wang, Chang Xu, Xin Yao, Dacheng Tao
[paper]
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron Courville
[paper]
Disentangling by Factorising
Hyunjik Kim, Andriy Mnih
[paper]
FastPhotoStyle
[code]
Generative Image Inpainting with Contextual Attention
[project]
Face Destylization
Fatemeh Shiri, Xin Yu, Fatih Porikli, Piotr Koniusz
[paper]
Image2GIF: Generating Cinemagraphs using Recurrent Deep Q-Networks(WACV2018)
Yipin Zhou, Yale Song, Tamara L. Berg
[paper]
Deep Interactive Evolution
Philip Bontrager, Wending Lin, Julian Togelius, Sebastian Risi
[paper]
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee
[paper]
High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks
Zeyuan Chen, Shaoliang Nie, Tianfu Wu, Christopher G. Healey
[paper]
Learning Adversarial 3D Model Generation With 2D Image Enhancer (AAAI2018)
Jing Zhu, Jin Xie, Yi Fang
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (NIPS2016)
Jiajun Wu, Chengkai Zhang*, Tianfan Xue, William T. Freeman, and Joshua B. Tenenbaum*
[project]
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He
[paper]
CSGNet: Neural Shape Parser for Constructive Solid Geometry
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji
[paper]
Deformable Shape Completion with Graph Convolutional Autoencoders
Or Litany, Alex Bronstein, Michael Bronstein, Ameesh Makadia
[paper]
Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data
Geonmo Gu, Seong Tae Kim, Kihyun Kim, Wissam J. Baddar, Yong Man Ro
[paper]
Stabilizing Adversarial Nets With Prediction Methods
Abhay Yadav, Sohil Shah, Zheng Xu, David Jacobs, Tom Goldstein
[paper]
PacGAN: The power of two samples in generative adversarial networks
Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh
[paper]
Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks
Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool
[paper]
Conditional Generative Adversarial Networks for Emoji Synthesis with Word Embedding Manipulation
Dianna Radpour, Vivek Bheda
[paper]
Neural Color Transfer between Images
Mingming He, Jing Liao, Lu Yuan, Pedro V. Sander
[paper]
One-Sided Unsupervised Domain Mapping
Sagie Benaim, Lior Wolf
[paper]
[code]
Are GANs Created Equal? A Large-Scale Study
Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, Olivier Bousquet
[paper]
Be Your Own Prada: Fashion Synthesis with Structural Coherence
Shizhan Zhu, Sanja Fidler, Raquel Urtasun, Dahua Lin, Chen Change Loy
[paepr]
IVE-GAN: Invariant Encoding Generative Adversarial Networks
Robin Winter, Djork-Arné Clevert
[paper]
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo
[paper]
[pytorch]
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Jesse Engel, Matthew Hoffman, Adam Roberts
[paper]
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell
paper]
Bayesian GAN
Yunus Saatchi, Andrew Gordon Wilson
[paper]
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Scott Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo Rezende, Oriol Vinyals, Nando de Freitas
[paper]
PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION
[paper]
[pytorch]
Text2Action: Generative Adversarial Synthesis from Language to Action
Hyemin Ahn, Timothy Ha, Yunho Choi, Hwiyeon Yoo, Songhwai Oh
[paper]
not image but action
MocoGAN [code]
Video Generation From Text (AAAI2018)
Yitong Li, Martin Renqiang Min, Dinghan Shen, David Carlson, Lawrence Carin
[paper]
Temporal Generative Adversarial Nets with Singular Value Clipping
Masaki Saito, Eiichi Matsumoto, Shunta Saito
[paper]
Class-Splitting Generative Adversarial Networks
Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto
[paper]
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, Vincent Vanhoucke
[paper]
Visual Forecasting by Imitating Dynamics in Natural Sequences(ICCV2017)
[paper]
Dataset Augmentation with Synthetic Images Improves Semantic Segmentation [paper]
Abnormal Event Detection in Videos using Generative Adversarial Nets
Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo Regazzoni, Nicu Sebe
[paper]
GANを用いた異常検知
Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks
Takuhiro Kaneko Kaoru Hiramatsu Kunio Kashino
[paper]
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter
[paper]
Semi-supervised Conditional GANs
Kumar Sricharan, Raja Bala, Matthew Shreve, Hui Ding, Kumar Saketh, Jin Sun
[paper]
PixelNN: Example-based Image Synthesis
Aayush Bansal, Yaser Sheikh, Deva Ramanan
[paper]
[project]
Towards the Automatic Anime Characters Creation with Generative Adversarial Networks
Yanghua Jin, Jiakai Zhang, Minjun Li, Yingtao Tian, Huachun Zhu, Zhihao Fang
[paper]
Style2Vec: Representation Learning for Fashion Items from Style Sets
Hanbit Lee, Jinseok Seol, Sang-goo Lee
[paper]
Asymmetric Tri-training for Unsupervised Domain Adaptation
[paper]
[slide]
SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis(ICCV2017)
Mengqi Ji, Juergen Gall, Haitian Zheng, Yebin Liu, Lu Fang
[paper]
Generating the Future with Adversarial Transformers(CVPR2017)
[paper]
CVPR GAN tutorial
[link]
MMGAN: Manifold Matching Generative Adversarial Network for Generating Images
Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, Youngmin Kim
[paper]
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis(CVPR2017)
Eunbyung Park, Jimei Yang, Ersin Yumer, Duygu Ceylan, Alexander C. Berg
[paper]
Stylized Adversarial Autoencoder for Image Generation(ACMMM2017)
Yiru Zhao (Shanghai Jiao Tong University); Bing Deng (Alibaba Group); Jianqiang Huang (Alibaba Group); Hongtao Lu (Shanghai Jiao Tong University); Xian-Sheng Hua (Alibaba Group)
Data Generation for Improving Person Re-identification(ACMMM2017)
Lin Chen (Shanghai Jiao Tong University); Hua Yang (Shanghai Jiao Tong University); Shuang Wu (Shanghai Jiao Tong university); Zhiyong Gao (Shanghai Jiao Tong university)
Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures(ACMMM2017)
[paper]
[code]
Learning from Simulated and Unsupervised Images through Adversarial Training(CVPR2017 best paper)
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russ Webb
[paper]
Learning from Synthetic Humans(CVPR2017)
[paper]
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation(NIPS2017 submitted)
YuXuan Liu, Abhishek Gupta, Pieter Abbeel, Sergey Levine
[paper]
Disentangled Representation Learning GAN for Pose-Invariant Face Recognition(CVPR2017)
[paper]
SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
Irina Higgins, Nicolas Sonnerat, Loic Matthey, Arka Pal, Christopher P Burgess, Matthew Botvinick, Demis Hassabis, Alexander Lerchner
[paper]
Perceptual Adversarial Networks for Image-to-Image Transformation
Chaoyue Wang, Chang Xu, Chaohui Wang, Dacheng Tao
[paper]
Hierarchical Model for Long-term Video Prediction
Peter Wang, Zhongxia Yan, Jeff Zhang
[paper]
Skeleton-aided Articulated Motion Generation(ACMMM2017)
Yichao Yan, Jingwei Xu, Bingbing Ni, Xiaokang Yang
[paper]
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation
Jianwei Yang, Anitha Kannan, Dhruv Batra, Devi Parikh
[paper]
[code]
Perceptual Adversarial Networks for Image-to-Image Transformation
Chaoyue Wang, Chang Xu, Chaohui Wang, Dacheng Tao
[paper]
Fader Networks: Manipulating Images by Sliding Attributes
Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato
[paper]
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification
Woong Bae, Jaejun Yoo, Jong Chul Ye
[paper]
On Unifying Deep Generative Models
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing
[paper]
Conditional CycleGAN for Attribute Guided Face Image Generation
Yongyi Lu, Yu-Wing Tai, Chi-Keung Tang
[paper]
Pose Guided Person Image Generation
Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, Luc Van Gool
[paper]
Improved Training of Wasserstein GANs
[paper]
[pytorch]
Stabilizing Training of Generative Adversarial Networks through Regularization
Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann
[paper]
How to Train Your DRAGAN
Naveen Kodali, Jacob Abernethy, James Hays, Zsolt Kira
[paper]
[code]
Exploring the structure of a real-time, arbitrary neural artistic stylization network
Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, Jonathon Shlens
[paper]
PixelVAE: A Latent Variable Model for Natural Images(ICLR2017)
Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taiga, Francesco Visin, David Vazquez, Aaron Courville
[paper]
PixelCNN models with Auxiliary Variables for Natural Image Modeling(ICML2017)
Alexander Kolesnikov (IST Austria) · Christoph Lampert (IST Austria)
[ArXiv]
Stabilizing GAN Training with Multiple Random Projections
Behnam Neyshabur, Srinadh Bhojanapalli, Ayan Chakrabarti
[paper]
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava, Lazar Valkov, Chris Russell, Michael Gutmann, Charles Sutton
[paper]
Pixel Deconvolutional Networks
Hongyang Gao, Hao Yuan, Zhengyang Wang, Shuiwang Ji
[paper]
Texture Synthesis with Spatial Generative Adversarial Networks
Nikolay Jetchev, Urs Bergmann, Roland Vollgraf
[paper]
[code]
Learning Texture Manifolds with the Periodic Spatial GAN
Urs Bergmann, Nikolay Jetchev, Roland Vollgraf
[paper]
Neural Style Transfer: A Review
Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Mingli Song
[paper]
Poisson Image Editing
[paper]
[code]
[code(python)]
領域を切り取って貼り付ける。そのあと、外側の情報から、内側の画素値を推定し、滑らかに合成する手法
Real-Time User-Guided Image Colorization with Learned Deep Priors
Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros
[paper]
Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks
Yifan Liu, Zengchang Qin, Zhenbo Luo, Hua Wang
[paper]
Visual Attribute Transfer through Deep Image Analogy
Jing Liao, Yuan Yao, Lu Yuan, Gang Hua, Sing Bing Kang
[paper]
[code]
Outline Colorization through Tandem Adversarial Networks
Kevin Frans
[paper]
The Pose Knows: Video Forecasting by Generating Pose Futures
Jacob Walker, Kenneth Marino, Abhinav Gupta, Martial Hebert
[paper]
人の映像を予測して生成するのに人体のボーンの動きを元に生成する方法の提案
Globally and Locally Consistent Image Completion(SIGGRAPH2017)
[project]
[pre-trained model]
#Image Generation
Unsupervised Creation of Parameterized Avatars
Lior Wolf, Yaniv Taigman, Adam Polyak
[paper]
Learning to Generate Long-term Future via Hierarchical Prediction
Ruben Villegas, Jimei Yang, Yuliang Zou, Sungryull Sohn, Xunyu Lin, Honglak Lee
[paper]
Network of Experts for Large-Scale Image Categorization
Karim Ahmed, Mohammad Haris Baig, Lorenzo Torresani
[paper]
Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models
Ardavan Saeedi, Matthew D. Hoffman, Stephen J. DiVerdi, Asma Ghandeharioun, Matthew J. Johnson, Ryan P. Adams
[paper]
Multi-View Image Generation from a Single-View
Bo Zhao, Xiao Wu, Zhi-Qi Cheng, Hao Liu, Jiashi Feng
[paper]
Neural Face Editing with Intrinsic Image Disentangling
Zhixin Shu, Ersin Yumer, Sunil Hadap, Kalyan Sunkavalli, Eli Shechtman, Dimitris Samaras
[paper]
A Neural Representation of Sketch Drawings
David Ha, Douglas Eck
[paper]
[data collection app?]
[data collection app?]
Adversarial Generator-Encoder Networks
Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky
[paper]
InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image
Hyeongwoo Kim, Michael Zollhöfer, Ayush Tewari, Justus Thies, Christian Richardt, Christian Theobalt
[paper]
BEGAN: Boundary Equilibrium Generative Adversarial Networks
David Berthelot, Tom Schumm, Luke Metz
[paper]
[blog]
[code]
SeGAN: Segmenting and Generating the Invisible
Kiana Ehsani, Roozbeh Mottaghi, Ali Farhadi
[paper]
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
[paper]
[code]
[project]
Deep Image Matting
Ning Xu, Brian Price, Scott Cohen, Thomas Huang
[paper]
Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
Matan Sela, Elad Richardson, Ron Kimmel
[paper]
Deep Photo Style Transfer
Fujun Luan, Sylvain Paris, Eli Shechtman, Kavita Bala
[paper]
[code]
One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models
J. H. Rick Chang, Chun-Liang Li, Barnabas Poczos, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan
[paper]
Adversarial Transformation Networks: Learning to Generate Adversarial Examples
Shumeet Baluja, Ian Fischer
[paper]
Multi-style Generative Network for Real-time Transfer
Hang Zhang, Kristin Dana
[paper]
Generative Adversarial Residual Pairwise Networks for One Shot Learning
Akshay Mehrotra, Ambedkar Dukkipati
[paper]
ZM-Net: Real-time Zero-shot Image Manipulation Network
Hao Wang, Xiaodan Liang, Hao Zhang, Dit-Yan Yeung, Eric P. Xing
[paper]
RoomNet: End-to-End Room Layout Estimation
Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich
[paper]
GP-GAN: Towards Realistic High-Resolution Image Blending
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
[paper]
I2T2I: Learning Text to Image Synthesis with Textual Data Augmentation
Hao Dong, Jingqing Zhang, Douglas McIlwraith, Yike Guo
[paper]
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jungkwon Lee, Jiwon Kim
[paper]
Compressed Sensing using Generative Models
Ashish Bora, Ajil Jalal, Eric Price, Alexandros G. Dimakis
[paper]
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation
Jianwei Yang, Anitha Kannan, Dhruv Batra, Devi Parikh
[paper]
Generative Adversarial Nets with Labeled Data by Activation Maximization
Zhiming Zhou, Shu Rong, Han Cai, Weinan Zhang, Yong Yu, Jun Wang
[paper]
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
[paper]
Shuffle and Learn: Unsupervised Learning using Temporal Order Verification(ECCV2016)
Ishan Misra, C. Lawrence Zitnick, Martial Hebert
[paper]
[code]
Diversified Texture Synthesis with Feed-forward Networks
Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, Ming-Hsuan Yang
[paper]
Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression
Jangwon Lee, Michael S. Ryoo
[paper]
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang
[paper]
Unsupervised Image-to-Image Translation Networks
Ming-Yu Liu, Thomas Breuel, Jan Kautz
[paper]
[pytorch]
GENERATING INTERPRETABLE IMAGES WITH CONTROLLABLE STRUCTURE
S. Reed, A. van den Oord, N. Kalchbrenner, V. Bapst, M. Botvinick, N. de Freitas
[paper]
Learning Visual Storylines with Skipping Recurrent Neural Networks
Gunnar A. Sigurdsson, Xinlei Chen, Abhinav Gupta
[paper]
Deep Image Harmonization
Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang
[paper]
Deep and Hierarchical Implicit Models
Dustin Tran, Rajesh Ranganath, David M. Blei
[paper]
[blog]
Boundary-Seeking Generative Adversarial Networks
R Devon Hjelm, Athul Paul Jacob, Tong Che, Kyunghyun Cho, Yoshua Bengio
[paper]
Least Squares Generative Adversarial Networks
Xudong Mao, Qing Li, Haoran Xie, Raymond Y.K. Lau, Zhen Wang
[paper]
[blog]
Stick-Breaking Variational Autoencoders
Eric Nalisnick, Padhraic Smyth
[paper]
Face Aging With Conditional Generative Adversarial Networks
Grigory Antipov, Moez Baccouche, Jean-Luc Dugelay
[paper]
Generative Adversarial Active Learning
Jia-Jie Zhu, Jose Bento
[paper]
Synthesising Dynamic Textures using Convolutional Neural Networks
Christina M. Funke, Leon A. Gatys, Alexander S. Ecker, Matthias Bethge
[paper]
Counterfactual Control for Free from Generative Models
Nicholas Guttenberg, Yen Yu, Ryota Kanai
[paper]
color palet[link]
PixelNet: Representation of the pixels, by the pixels, and for the pixels
Aayush Bansal, Xinlei Chen, Bryan Russell, Abhinav Gupta. Deva Ramanan
[paper]
Amortised MAP Inference for Image Super-resolution
Casper Kaae Sønderby, Jose Caballero, Lucas Theis, Wenzhe Shi, Ferenc Huszár
[paper]
Photo Filter Recommendation by Category-Aware Aesthetic Learning
Wei-Tse Sun, Ting-Hsuan Chao, Yin-Hsi Kuo, Winston H. Hsu
[paper]
SSPP-DAN: Deep Domain Adaptation Network for Face Recognition with Single Sample Per Person
Sungeun Hong, Woobin Im, Jongbin Ryu, Hyun S. Yang
[paper]
Generative Temporal Models with Memory
Mevlana Gemici, Chia-Chun Hung, Adam Santoro, Greg Wayne, Shakir Mohamed, Danilo J. Rezende, David Amos, Timothy Lillicrap
[paper]
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang, Serge Belongie
[paper]
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network
Vedran Vukotić, Silvia-Laura Pintea, Christian Raymond, Guillaume Gravier, Jan Van Gemert
[paper]
ArtGAN: Artwork Synthesis with Conditional Categorial GANs
Wei Ren Tan, Chee Seng Chan, Hernan Aguirre, Kiyoshi Tanaka
[paper]
Multitask diffusion adaptation over networks with common latent representations
Jie Chen, Cédric Richard, Ali H. Sayed
[paper]
Generative Mixture of Networks
Ershad Banijamali, Ali Ghodsi, Pascal Poupart
[paper]
Crossing Nets: Dual Generative Models with a Shared Latent Space for Hand Pose Estimation
Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao
[paper]
Cognitive Mapping and Planning for Visual Navigation
Saurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik
[paper]
Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses
Eric Risser, Pierre Wilmot, Connelly Barnes
[paper]
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
[paper]
Video Frame Synthesis using Deep Voxel Flow
[project]
[paper]
UCF101の動画認識データセットで訓練、UCF101とTHUMOS Challenge 2015のtestsetで評価
Unrolled Generative Adversarial Networks
[paper]
[blog]
[demo]
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
[paper]
Attribute-controlled face photo synthesis from simple line drawing
[paper]
Message Passing Multi-Agent GANs
Arnab Ghosh, Viveka Kulharia, Vinay Namboodiri
[paper]
Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics
[paper]
Contextual RNN-GANs for Abstract Reasoning Diagram Generation(AAAI2017)
[paper]
Phrase-Based Presentation Slides Generation for Academic Papers(AAAI2017)
Explainable Image Understanding using Vision and Reasoning(AAAI2017)
SlidesGen: Automatic Generation of Presentation Slides for a Technical Paper Using Summarization
[paper]
academic_paper2slide survey
[[paper(http://ijcsit.com/docs/Volume%207/vol7issue1/ijcsit2016070105.pdf)]
PPSGen: Learning to Generate Presentation Slides for Academic Papers
[paper]
PPSGen: Learning-Based Presentation Slides Generation for Academic Papers(APRIL 2015)
[paper]
はじめてのGAN
[link]
Pixel Recursive Super Resolution
Ryan Dahl, Mohammad Norouzi, Jonathon Shlens
[paper]
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
[paper]
Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature
Babak Saleh, Ahmed Elgammal
[paper]
Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting
[paper]
Wasserstein GAN
[paper]
[chainer]
[chianer2]
[blog]
[blog]
[blog]
Adversarially Learned Inference
[link]
Benchmarking in Manipulation Research: The YCB Object & Model Set(ICRA2016 Tutorial)
[link]
ADVERSARIALLY LEARNED INFERENCE [paper]
Image Region Forgery Detection: A Deep Learning Approach(SG-CRC2016)
[paper]
Fast Patch-based Style Transfer of Arbitrary Style
Tian Qi Chen, Mark Schmidt
[paper]
Automatic Generation of Typographic Font from a Small Font Subset
[paper]
文字のフォント生成
Unsupervised Learning of 3D Structure from Images(NIPS2016)
Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter Battaglia, Max Jaderberg, Nicolas Heess
[paper]
[ArXiv]
[reddit]
Mode Regularized Generative Adversarial Networks
Tong Che, Yanran Li, Athul Paul Jacob, Yoshua Bengio, Wenjie Li
[paper]
Towards Principled Methods for Training Generative Adversarial Networks
Martin Arjovsky, Léon Bottou
[paper]
Image Generation and Editing with Variational Info Generative AdversarialNetworks
Mahesh Gorijala, Ambedkar Dukkipati
[paper]
Early Visual Concept Learning with Unsupervised Deep Learning
Irina Higgins, Loic Matthey, Xavier Glorot, Arka Pal, Benigno Uria, Charles Blundell, Shakir Mohamed, Alexander Lerchner
[paper]
LayerBuilder: Layer Decomposition for Interactive Image and Video Color Editing
Sharon Lin, Matthew Fisher, Angela Dai, Pat Hanrahan
[paper]
Deep Probabilistic Modeling of Natural Images using a Pyramid Decomposition
Alexander Kolesnikov, Christoph H. Lampert
[paper]
Learning Non-Lambertian Object Intrinsics across ShapeNet Categories
Jian Shi, Yue Dong, Hao Su, Stella X. Yu
[paper]
質感認識というか質感分離？の話。画像をそれぞれの要素に分離して生成する
Unsupervised Domain Adaptation by Backpropagation
[paper]
Unsupervised Learning for Physical Interaction through Video Prediction(NIPS2016)
[paper]
[code]
[dataset]
How to Train a GAN? Tips and tricks to make GANs work
[code]
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaolei Huang, Xiaogang Wang, Dimitris Metaxas
[paper]
[code]
CONDITIONAL IMAGE SYNTHESIS WITH AUXILIARY CLASSIFIER GANS
Augustus Odena, Christopher Olah & Jonathon Shlens
[paper]
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space(CVPR2017)
Anh Nguyen, Jason Yosinski, Yoshua Bengio, Alexey Dosovitskiy, Jeff Clune
[paper]
[paper]
[supp]
Improved Techniques for Training GANs
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen
[paper]
[code]
[inception-score(chainer)]
NIPS 2016 Workshop on Adversarial Training
https://sites.google.com/site/nips2016adversarial/home
torchでの評価ツール https://github.com/lopezpaz/metal
Invertible Conditional GANs for image editing
Guim Perarnau, Joost van de Weijer, Bogdan Raducanu, Jose M. Álvarez
[paper]
[code]
現在の画像に条件づけて新しい画像を生成している
ただ、下のエンコーダがある必要性が微妙。たぶんどこを変更したかわかりやすくするため？単純なconditionでもいけそう
上で画像のスタイルを学習して、下で条件付けをしているから、VAE-GANとかなり近い。違うのはinputとoutputが違う画像であること
対応する画像どうやってalignしたのかは未確認
もしかしたら、これ同じ人の違うattributeで対応づけた画像だけでやってる?え、それでいいの？
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi
[paper]
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros
[paper]
[chainer]
Learning What and Where to Draw(NIPS2016)
Scott Reed et al.
[paper]
[code]
Generating Videos with Scene Dynamics(NIPS2016)
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
[project]
[code]
Generative Visual Manipulation on the Natural Image Manifold(ECCV2016)
Jun-Yan Zhu, Philipp Kr¨ahenb¨uhl, Eli Shechtman, and Alexei A. Efros1
[project]
Deep Generative Model(DL summer school)
[slide]
Instance Normalization: The Missing Ingredient for Fast Stylization
[paper]
Spatial Transformer Networks(NIPS2015)
[paper]
[video]
[code]
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
[paper]
missing valueに対する生成モデルによる修復について載っている(付録F)
Anticipating Visual Representations from Unlabeled Video(CVPR2016) [paper]
Conditional Image Generation with PixelCNN Decoders
[paper]
[slide(ja)]
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks
Anh Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, Jeff Clune
[paper]
[CreativeAi]
[projectpage]
[code]
Artistic style transfer for videos
Manuel Ruder, Alexey Dosovitskiy, Thomas Brox
[paper]
[video]
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson, Alexandre Alahi, Li Fei-Fei
[paper]
A Theory of Generative ConvNet(ICML2016)
Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu
[paper]
[ArXiv]
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter, Gabriel Kreiman, David Cox
[paper]
[blog]
[project]
[code]
[chainer]
[slide_ja]
Towards Conceptual Compression(Arxiv)
Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra
[link]
Deep Generative Models with Stick-Breaking Priors
Eric Nalisnick, Padhraic Smyth
[paper]
Generative Adversarial Text to Image Synthesis(ICML2016)
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee
[paper]
[ArXiv]
[supplements(download)]
[code]
[slide(ja)]
Colorful Image Colorization
Richard Zhang, Phillip Isola, Alexei A. Efros
[GitXiv]
Generating Abstract Patterns with TensorFlow[blog]
Neural network based model for visual-motor integration learning of robot's drawing behavior: Association of a drawing motion from a drawn image
K. Sasaki, Tjandra, K. Noda, K. Takahashi, T. Ogata
[paper]
[master]
Generative Image Modeling using Style and Structure Adversarial Networks
Xiaolong Wang, Abhinav Gupta
[paper]
子供の言語獲得と機械の言語獲得
[slide]
One-Shot Generalization in Deep Generative Models
Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra
[paper]
[ArXiv]
[video]
[video]
[video]
[video]