SHI-Labs
SHI Labs Joined Apr 2020 View on GitHub
- Stars
- 11,767
- across 53 public repos
- Rank
- #3,267
- of 94,827 organizations, top 4%
- Down 178 places this week
Repositories with 50+ stars
| Rank | Repository | Language | Stars |
|---|---|---|---|
| 39,267 | [CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation | Jupyter Notebook | 1,744 |
| 51,352 | Versatile Diffusion: Text, Images and Variations All in One Diffusion Model, arXiv 2022 / ICCV 2023 | Python | 1,330 |
| 57,091 | Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022 | Python | 1,185 |
| 80,151 | Fast Multi-dimensional Sparse Attention | C++ | 815 |
| 85,713 | Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models, arxiv 2023 / CVPR 2024 | Python | 759 |
| 90,040 | Matting Anything Model (MAM), an efficient and versatile framework for estimating the alpha matte of any instance in an image with flexible and interactive visual or linguistic user prompt guidance. | Python | 720 |
| 115,863 | Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!) | Python | 546 |
| 150,456 | [IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, compression artifact reduction, super-resolution | Python | 407 |
| 150,456 | PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020). | Python | 407 |
| 169,326 | Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models arXiv 2023 / CVPR 2024 | Python | 356 |
| 209,682 | [CVPR 2021] Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach | Python | 278 |
| 209,682 | [CVPR 2024] VCoder: Versatile Vision Encoders for Multimodal Large Language Models | Python | 278 |
| 220,719 | [CVPR 2020 & 2021 & 2022 & 2023] Agriculture-Vision Dataset, Prize Challenge and Workshop: A joint effort with many great collaborators to bring Agriculture and Computer Vision/AI communities... | 262 | |
| 273,712 | [WACV 2023] Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand | Jupyter Notebook | 202 |
| 291,819 | Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification (ICCV 2019, Oral) | Python | 187 |
| 319,122 | [Preprint] ConvMLP: Hierarchical Convolutional MLPs for Vision, 2021 | Python | 168 |
| 320,707 | Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (ECCV 2018) | Python | 167 |
| 325,470 | CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts | Python | 164 |
| 364,287 | 143 | ||
| 368,440 | Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models, 2023 | Python | 141 |
| 413,996 | [Preprint] VMFormer: End-to-End Video Matting with Transformer | Python | 122 |
| 443,082 | [MICCAI 2021] Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels: New SOTA on both DRIVE and CHASE_DB1. | Jupyter Notebook | 112 |
| 455,871 | [CVPR 2026 Oral] PAI-Bench: A Comprehensive Benchmark for Physical AI | Python | 108 |
| 462,552 | [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning | Jupyter Notebook | 106 |
| 476,980 | New flexible and efficient image generation framework that sets new SOTA on FFHQ-256 with FID 2.05, 2022 | Python | 102 |
| 516,721 | [CVPR 2020] Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation | Python | 92 |
| 571,596 | Python | 81 | |
| 607,110 | [NeurIPS 2025] Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation | Python | 75 |
| 626,825 | [WACV 2023] Image Completion with Heterogeneously Filtered Spectral Hints | Python | 72 |
| 671,363 | Improving Object Detection from Scratch via Gated Feature Reuse (BMVC 2019) | Python | 66 |
| 696,124 | Any-Precision Deep Neural Networks (AAAI 2021) | Python | 63 |
| 696,124 | Python | 63 | |
| 732,722 | T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation (ICCV'25) | Jupyter Notebook | 59 |
| 752,808 | [Preprint] UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution, 2021 | 57 |
Among 94,827 organizations
10k–16k stars: 1,461 organizations, including SHI-Labs
Stars along the bottom, and organizations in each band on a log scale
Where the stars are
Languages
- Python 7.9k stars, 67% · 25 repos
- Jupyter Notebook 2.2k stars, 19% · 5 repos
- C++ 815 stars, 7% · 1 repo
When they were made
34 repos with 50+ stars, made between 2017 and 2025
Quick stats
- Next rank
- +3 stars to reach #3,266
- Next milestone
- +23,206 stars to reach the top 1%
- Public repos
- 53, 34 with 50+ stars
- Popular repos
- 25 over 100 stars, 3 over 1k stars
- Top repo
- OneFormer, #39,267 of all repos, 15% of stars
- Smaller repos
- 330 stars from repos under 50