[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
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Updated
Sep 17, 2024 - Python
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
[official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)
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.
[CVPR'24] NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training
Developing code on semantic segmentation for Extended Labeled Faces in the Wild
[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".
[ICCVW 2021] Official implementation: An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wild.
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