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🚀 Interested in Human Pose Estimation, Image Restoration, and Generative Adversarial Networks.
🎓 Now a first-year CS PhD student in Johns Hopkins University, advised by prof. Alan Yuille.
🔥 Obtained my BSE and MSE degrees from Tsinghua University in 2020 and 2023.
⚡ An active player in competitions of international top academic conferences:
![](https://github.com/caiyuanhao1998/MST/raw/main/figure/robocup_cyh.png)
🌱 My Repositories
Topic |
Title |
Badge |
3D Reconstruction, Novel View Synthesis, and Volume Density Rendering |
"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024) |
![arXiv](https://camo.githubusercontent.com/c0fc025b8330e35180f3f3303b3785ab20adcc93df173056f5bdc08fea6de30b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d50617065722d253343434f4c4f522533452e737667) ![GitHub Stars](https://camo.githubusercontent.com/c13663d72e7f0854c233399a3e67eb3e74e8b811ae70b8e871d4628154969f34/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6361697975616e68616f313939382f5341582d4e6552463f7374796c653d736f6369616c) ![GitHub Forks](https://camo.githubusercontent.com/a761a378d34f50b1b799d3711afa34d301580569b3e5aebb62ee38873b421c4f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f6361697975616e68616f313939382f5341582d4e6552463f7374796c653d736f6369616c) |
Human Pose Estimation |
"Learning Delicate Local Representations for Multi-Person Pose Estimation" (ECCV 2020 Spotlight) and "Res-Steps-Net for Multi-Person Pose Estimation" (ICCVW 2019 Best Paper Award & COCO 2019 Keypoint Challenge Winner) |
![arXiv](https://camo.githubusercontent.com/c0fc025b8330e35180f3f3303b3785ab20adcc93df173056f5bdc08fea6de30b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d50617065722d253343434f4c4f522533452e737667) ![GitHub Stars](https://camo.githubusercontent.com/92a93799640b5fe23a950fd29af7e372bc3ad210384a33d3444c948c8e3ad74a/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6361697975616e68616f313939382f52534e3f7374796c653d736f6369616c) ![GitHub Forks](https://camo.githubusercontent.com/76ee5c6f25f6d0b4d9de86b7b3a1e4f24509bfeb8c85e049a1e73f42d1407497/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f6361697975616e68616f313939382f52534e3f7374796c653d736f6369616c) |
Hypersepctral Image Reconstruction in Snapshot Compressive Imaging |
"A toolbox for spectral compressive imaging reconstruction including our MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc." |
![arXiv](https://camo.githubusercontent.com/c0fc025b8330e35180f3f3303b3785ab20adcc93df173056f5bdc08fea6de30b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d50617065722d253343434f4c4f522533452e737667) ![GitHub Stars](https://camo.githubusercontent.com/bb0a477b5846e935b9964e734de2f6b50b91123f7e5b4a3718678bb2e6fc037f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6361697975616e68616f313939382f4d53543f7374796c653d736f6369616c) ![GitHub Forks](https://camo.githubusercontent.com/bdabb8e6e6f67e0dec472ab7a3db936d12db24cbe319e79b98c5fb7696a8fe5b/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f6361697975616e68616f313939382f4d53543f7374796c653d736f6369616c) |
Low-light Image Enhancement |
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023 & NTIRE 2024 First Runner-Up Award) |
![arXiv](https://camo.githubusercontent.com/c0fc025b8330e35180f3f3303b3785ab20adcc93df173056f5bdc08fea6de30b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d50617065722d253343434f4c4f522533452e737667) ![GitHub Stars](https://camo.githubusercontent.com/2b40b8653ecb2c4a6dc648d284b73da578aae9928fd002288bf0726f0ac406fb/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6361697975616e68616f313939382f526574696e6578666f726d65723f7374796c653d736f6369616c) ![GitHub Forks](https://camo.githubusercontent.com/ce2483ab46fbc250bd306ae6d37e2f4cf523913f7672a0ba8ea0ed3db11406c5/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f6361697975616e68616f313939382f526574696e6578666f726d65723f7374796c653d736f6369616c) |
Hypersepctral Image Reconstruction from Single RGB Images |
"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Challenge on Spectral Reconstruction from RGB) |
![arXiv](https://camo.githubusercontent.com/c0fc025b8330e35180f3f3303b3785ab20adcc93df173056f5bdc08fea6de30b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d50617065722d253343434f4c4f522533452e737667) ![GitHub Stars](https://camo.githubusercontent.com/169dd3667a51b503a56cd2b770fd949c84b13d45cee575b4b58e8bb5fff3e7be/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6361697975616e68616f313939382f4d53542d706c75732d706c75733f7374796c653d736f6369616c) ![GitHub Forks](https://camo.githubusercontent.com/ea43908e340412a488c217af142c8229e1c32ca8358c8c5f113475246f46c28c/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f6361697975616e68616f313939382f4d53542d706c75732d706c75733f7374796c653d736f6369616c) |
Binarized Neural Network for Spectral Compressive Imaging Reconstruction |
"Binarized Spectral Compressive Imaging" (NeurIPS 2023) |
![arXiv](https://camo.githubusercontent.com/c0fc025b8330e35180f3f3303b3785ab20adcc93df173056f5bdc08fea6de30b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d50617065722d253343434f4c4f522533452e737667) ![GitHub Stars](https://camo.githubusercontent.com/284525f846a6f1254a79734d3fbf3a2e7621ac450b46c8e1a436d24e4c938341/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6361697975616e68616f313939382f42695343493f7374796c653d736f6369616c) ![GitHub Forks](https://camo.githubusercontent.com/fc33a9d241c13f48ba101c6873df495dd02d2855cd5c61e40ee0875945aed1be/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f6361697975616e68616f313939382f42695343493f7374796c653d736f6369616c) |
Real-world Noise Modelling and Removal |
"Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021) |
![arXiv](https://camo.githubusercontent.com/c0fc025b8330e35180f3f3303b3785ab20adcc93df173056f5bdc08fea6de30b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d50617065722d253343434f4c4f522533452e737667) ![GitHub Stars](https://camo.githubusercontent.com/05b6f697579c17fa19f2ade245bd8d003df501450882a69d853fc0bb3cb5d6ab/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6361697975616e68616f313939382f504e47414e3f7374796c653d736f6369616c) ![GitHub Forks](https://camo.githubusercontent.com/93d637142857065858b4d1ff1a53adbcc5b3bef03555e445821df92feeae64d4/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f6361697975616e68616f313939382f504e47414e3f7374796c653d736f6369616c) |
Video Restoration |
"A toolbox for video restoration (deblurring, super-resolution, and compressed video enhancedment) including our FGST (ICML 2022) and S2SVR (ICML 2022), and so on" |
![arXiv](https://camo.githubusercontent.com/c0fc025b8330e35180f3f3303b3785ab20adcc93df173056f5bdc08fea6de30b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d50617065722d253343434f4c4f522533452e737667) ![GitHub Stars](https://camo.githubusercontent.com/1fdf38680455e7d9ca32d76a11131954068e4a1cf2bde6e68cdccecadb75ff56/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6c696e6a696e67372f56522d426173656c696e653f7374796c653d736f6369616c) ![GitHub Forks](https://camo.githubusercontent.com/c327fa8694dffe60c7f328f1f2693fa1fcee58e60f790cfe65e9e142c8b8a592/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f6c696e6a696e67372f56522d426173656c696e653f7374796c653d736f6369616c) |
Medical Image Enhancement |
"RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmark" (J-BHI 2022) |
![arXiv](https://camo.githubusercontent.com/c0fc025b8330e35180f3f3303b3785ab20adcc93df173056f5bdc08fea6de30b/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d50617065722d253343434f4c4f522533452e737667) ![GitHub Stars](https://camo.githubusercontent.com/34bfd0c6a741331618ac83fc196e0a8830553025159bf086d8a9dbfb00d9bff7/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f64656e677a68756f2d41492f5265616c2d46756e6475733f7374796c653d736f6369616c) ![GitHub Forks](https://camo.githubusercontent.com/e83f154ae2fc6c4dc4c50a6bef8d3f610b5f5395c6d9ce7a824b12a9f7ba255a/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f666f726b732f64656e677a68756f2d41492f5265616c2d46756e6475733f7374796c653d736f6369616c) |