Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022
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Updated
Aug 20, 2022 - Python
Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Point-NeRF: Point-based Neural Radiance Fields
Direct voxel grid optimization for fast radiance field reconstruction.
Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)
Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf
[CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
[CVPR'22 Oral] GMFlow: Learning Optical Flow via Global Matching
[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction
Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022
Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)
[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).
[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
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