This is your work, valued
Johns Hopkins University caiyuanhao1998@gmail.com ycai51@jh.edu
Retinexformer. "Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023 Top-10 Cited 🏆) & (NTIRE 2024 Runner-Up 🏆) & (NTIRE 2025 Winner 🏆) & (NTIRE 2026 Winner 🏆)
1.5kMST. A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.
1.1kOpen-DiffusionGS. Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025)
854SAX-NeRF. "Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024) - A Toolbox for CT reconstruction and X-ray Novel View Synthesis
801MST-plus-plus. "MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Spectral Recovery Challenge) and a toolbox for spectral reconstruction
557RSN. "Learning Delicate Local Representations for Multi-Person Pose Estimation" (ECCV 2020 Spotlight) & (COCO 2019 Human Keypoint Detection Challenge Winner) & (COCO 2019 Best Paper Award)
503Open-OmniVCus. OmniVCus: Feedforward Subject-driven Video Customization with Multimodal Control Conditions (NeurIPS 2025)
500HDR-GS. "HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting" (NeurIPS 2024)
388X-Gaussian. "Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis" (ECCV 2024)
333PNGAN. "Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021)
146BiSCI. A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)
60UDP-plus-plus. "UDP++" (ECCVW 2020 Oral) & (Winner of COCO 2020 Keypoint Challenge).
23X-LRM. A toolbox for feedforward sparse-view CT reconstruction
18draw_script. Python
11HDNet.
11IR-Baseline.
8LucidFusion. Official implementation of “LucidFusion: Generating 3D Gaussians with Arbitrary Unposed Images”
4r2_gaussian. "Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction" (NeurIPS 2024)
4coding_note. Python
33D_Heart_PCA.
3NeRF_toolbox. Python
3mmpose. OpenMMLab Pose Estimation Toolbox and Benchmark.
2DWPose. "Effective Whole-body Pose Estimation with Two-stages Distillation" (ICCV 2023, CV4Metaverse Workshop)
2UnpairedSR. This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https://arxiv.org/abs/2203.04962)
2NeRFLiX_CVPR2023. official NeRFLiX implementation
2MST-plus-plus-TensorRT. :poodle: :poodle: :poodle: TensorRT 2022复赛方案: 首个基于Transformer的图像重建模型MST++的TensorRT模型推断优化
2cszn.
2hello_world.
1pytorch-loss. label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
1OSX. [CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"
1Restormer. [CVPR 2022] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
1pygcn. Graph Convolutional Networks in PyTorch
1Knowledge-Distillation-for-Super-resolution. ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution
1pytorch_tricks. some tircks for PyTorch
1caiyuanhao1998.
1VideoPose3D. Efficient 3D human pose estimation in video using 2D keypoint trajectories
1PyTorchTricks. Some tricks of pytorch... :star:
1SemGCN. The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).
1