Pinned Repositories
deep_marching_cubes
Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018
HDNet
"HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging" (CVPR 2022)
ICON
ICON: Implicit Clothed humans Obtained from Normals (CVPR 2022)
IR-Baseline
Image Restoration Toolbox
MST
"Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction" (CVPR 2022)
MST-plus-plus
"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (Winner of NTIRE 2022 Challenge on Spectral Reconstruction from RGB)
PNGAN
"Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021)
RSN
"Learning Delicate Local Representations for Multi-Person Pose Estimation" (ECCV 2020 Spotlight) and "Res-Steps-Net for Multi-Person Pose Estimation" (ICCVW 2019 Winner & Best Paper Award)
smplpytorch
SMPL body model layer for PyTorch
UDP-plus-plus
"UDP++" (ECCVW 2020 Oral), (Winner of COCO 2020 Keypoint Challenge).
Misaka-10079's Repositories
Misaka-10079/deep_marching_cubes
Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018
Misaka-10079/HDNet
"HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging" (CVPR 2022)
Misaka-10079/ICON
ICON: Implicit Clothed humans Obtained from Normals (CVPR 2022)
Misaka-10079/IR-Baseline
Image Restoration Toolbox
Misaka-10079/MST
"Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction" (CVPR 2022)
Misaka-10079/MST-plus-plus
"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (Winner of NTIRE 2022 Challenge on Spectral Reconstruction from RGB)
Misaka-10079/PNGAN
"Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021)
Misaka-10079/RSN
"Learning Delicate Local Representations for Multi-Person Pose Estimation" (ECCV 2020 Spotlight) and "Res-Steps-Net for Multi-Person Pose Estimation" (ICCVW 2019 Winner & Best Paper Award)
Misaka-10079/smplpytorch
SMPL body model layer for PyTorch
Misaka-10079/UDP-plus-plus
"UDP++" (ECCVW 2020 Oral), (Winner of COCO 2020 Keypoint Challenge).
Misaka-10079/volrend
PlenOctree Volume Rendering (supports CUDA & fragment shader backends)
Misaka-10079/VR-Baseline
Video Restoration Toolbox including FGST (ICML 2022), S2SVR (ICML 2022), etc.