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2023-IEEE-Diffusion Models in Vision: A Survey
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2021-IEEE-Deep Learning for Image Super-Resolution: A Survey
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2022-CVPR-Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
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2023-NeurIPS-Toward Understanding Generative Data Augmentation[Code]
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2023-CVPR-DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation [Slides]
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2023-NIPS-Visual Instruction Inversion: Image Editing via Visual Prompting
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2022-CVPR-TeachAugment: Data Augmentation Optimization Using Teacher Knowledge[Code]
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2021-CVPR-SuperMix: Supervising the Mixing Data Augmentation[Code]
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2019-ICCV-CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features[Code]
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2024-CVPR-DIFFUSEMIX: Label-Preserving Data Augmentation with Diffusion Models[Code]
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2023-NeurIPS-DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning[Code]
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2024-WACV-Data Augmentation for Object Detection via Controllable Diffusion Models[Code]
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2024-WACV-Controllable Image Synthesis of Industrial Data using Stable Diffusion
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2023-NeurIPS-Diffusion Self-Guidance for Controllable Image Generation[Code]
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2023-ICCV-SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
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2024-WACV-Training-Free Layout Control with Cross-Attention Guidance
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2023-ICCV-Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning[Code]
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2023-NeurIPS-Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation[Code]
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2024-AAAI-Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification
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2023-ICCV-Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage
- 2024-KDD-SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph[Code]
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2023-NeurIPS-Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation[Code]
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2024-CVPR-Domain Gap Embeddings for Generative Dataset Augmentation[Code]
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2023-NeurIPS-Expanding Small-Scale Datasets with Guided Imagination[Code]
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2020-CVPR-Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion[Code]
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2023-ICML-Training on Thin Air: Improve Image Classification with Generated Data[Code]
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2023-CVPR-Inversion-based Style Transfer with Diffusion Models[Code]
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2024-AAAI-Compositional Inversion for Stable Diffusion Models[Code]
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2023-ICCV-Controllable Inversion of Black-Box Face Recognition Models via Diffusion
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2023-ICLR-An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion[Code]
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2023-ICCV-Effective Real Image Editing with Accelerated Iterative Diffusion Inversion
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2024-CVPR-Inversion-Free Image Editing with Language-Guided Diffusion Models[Code]
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2023-ICCV-Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models
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2022-NeurIPS-One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations[Code]
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2023-CVPR-InstructPix2Pix: Learning to Follow Image Editing Instructions[Code]
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2024-CVPR-Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss[Code]
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2024-CVPR-Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
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2023-NeurIPS-ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting[Code]