Pinned Repositories
CLADE
Efficient Semantic Image Synthesis via Class-Adaptive Normalization (TPAMI 2021)
clean-fid
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
cvpr22_cross_modal_pseudo_labeling
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling @ CVPR22
Fewshot-SMIS
Pytorch implementation of few-shot semantic image synthesis
HFA
INADE
Implementation of Diverse Semantic Image Synthesis via Probability Distribution Modeling (CVPR 2021)
People-Flows
The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes
pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
pixel2style2pixel
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
PoseDiffusion
[ICCV 2023] PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment
gth901007's Repositories
gth901007/CLADE
Efficient Semantic Image Synthesis via Class-Adaptive Normalization (TPAMI 2021)
gth901007/clean-fid
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
gth901007/cvpr22_cross_modal_pseudo_labeling
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling @ CVPR22
gth901007/Fewshot-SMIS
Pytorch implementation of few-shot semantic image synthesis
gth901007/HFA
gth901007/INADE
Implementation of Diverse Semantic Image Synthesis via Probability Distribution Modeling (CVPR 2021)
gth901007/People-Flows
The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes
gth901007/pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
gth901007/pixel2style2pixel
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
gth901007/PoseDiffusion
[ICCV 2023] PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment
gth901007/pytorch-auto-drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, PRNet, RESA, LSTR, BĂ©zierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
gth901007/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
gth901007/semseg
Semantic Segmentation in Pytorch
gth901007/SETR
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
gth901007/SPADE
Semantic Image Synthesis with SPADE
gth901007/SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
gth901007/tri-depth
[WACV 2023] Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
gth901007/unifiedparsing
Codebase and pretrained models for ECCV'18 Unified Perceptual Parsing
gth901007/Universal-Guided-Diffusion
gth901007/visual-chatgpt
VisualChatGPT