[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
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Updated
Dec 10, 2025 - Python
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
[SIGGRAPH Asia 2024 (Journal Track)] StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal
[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
[official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)
[CVPR'24] NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
CVPR 2022 - derender3d: A method for de-rendering a 3D object from a single image into shape, material, and lighting, that is trained in a weakly-supervised fashion relying only on rough shape estimates.
[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
[INTERSPEECH 2025] Official code for "SEED: Speaker Embedding Enhancement Diffusion Model"
Official implementations of the NexusSplats paper.
Daily archiver & triage issue creator for new releases of CISA's Known Exploited Vulnerabilities list
[CoRL 2025 Oral] AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons
Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training
Mobile Android app for data collection in the wild: sensor measurements and self-reported labels describing the user's behavioral context.
[ICCV 2025] UniVerse: Unleashing the Scene Prior of Video Diffusion Models for Robust Radiance Field Reconstruction
Gaze estimation algorithms in C++ using laptop's camera as input and machine learning algorithms for the prediction of gaze's direction.
Developing code on semantic segmentation for Extended Labeled Faces in the Wild
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
[IEEE FG2021] PyTorch code for paper titled "Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild".
Animals object detection such as deer, horse, and rabbit in diverse settings using YOLOv5
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