diff --git a/README.md b/README.md index 187e914a..88c24d31 100644 --- a/README.md +++ b/README.md @@ -10,6 +10,7 @@

# News +- Our work [TransFace++](https://ieeexplore.ieee.org/document/11184862) got accepted to TPAMI ! (September 30th, 2025 UTC) - Our work [FaceChain-MMID](https://www.sciencedirect.com/science/article/abs/pii/S0031320325005187) got accepted to Pattern Recognition ! (May 30th, 2025 UTC) - More Technology Details of FaceChain-FACT train-free portrait generation can be seen in [Paper](https://arxiv.org/abs/2410.12312). (October 17th, 2024 UTC) - Our work [TopoFR](https://arxiv.org/abs/2410.10587) got accepted to NeurIPS 2024 ! (September 26th, 2024 UTC) @@ -37,6 +38,7 @@ FaceChain is powered by [ModelScope](https://github.com/modelscope/modelscope). # News +- Our work [TransFace++](https://ieeexplore.ieee.org/document/11184862) got accepted to TPAMI ! (September 30th, 2025 UTC) - Our work [FaceChain-MMID](https://www.sciencedirect.com/science/article/abs/pii/S0031320325005187) got accepted to Pattern Recognition ! (May 30th, 2025 UTC) - More Technology Details of FaceChain-FACT train-free portrait generation can be seen in [Paper](https://arxiv.org/abs/2410.12312). (October 17th, 2024 UTC) - Our work [TopoFR](https://arxiv.org/abs/2410.10587) got accepted to NeurIPS 2024 ! (September 26th, 2024 UTC) diff --git a/README_ZH.md b/README_ZH.md index bdd2f406..f15d1437 100644 --- a/README_ZH.md +++ b/README_ZH.md @@ -6,6 +6,7 @@

# 最新消息 +- Facechain算法创新工作[TransFace++](https://ieeexplore.ieee.org/abstract/document/11184862) 在期刊TPAMI上发表! (2025-09-30) - Facechain算法创新工作[FaceChain-MMID](https://www.sciencedirect.com/science/article/abs/pii/S0031320325005187) 在期刊Pattern Recognition上发表! (2025-05-30) - 更多关于FaceChain-FACT免训练工作的技术细节可以在 [论文](https://arxiv.org/abs/2410.12312) 里查看. (2024-10-17) - Facechain算法创新工作[TopoFR](https://arxiv.org/abs/2410.10587) 被NeurIPS 2024接收录用! (2024-09-26) @@ -31,6 +32,7 @@ FaceChain的模型由[ModelScope](https://github.com/modelscope/modelscope)开 # News +- Facechain算法创新工作[TransFace++](https://ieeexplore.ieee.org/abstract/document/11184862) 在期刊TPAMI上发表! (2025-09-30) - Facechain算法创新工作[FaceChain-MMID](https://www.sciencedirect.com/science/article/abs/pii/S0031320325005187) 在期刊Pattern Recognition上发表! (2025-05-30) - 更多关于FaceChain-FACT免训练工作的技术细节可以在 [论文](https://arxiv.org/abs/2410.12312) 里查看. (2024-10-17) - Facechain算法创新工作[TopoFR](https://arxiv.org/abs/2410.10587) 被NeurIPS 2024接收录用! (2024-09-26) diff --git a/face_module/TopoFR/README.md b/face_module/TopoFR/README.md index d0dcba2e..4f776db3 100644 --- a/face_module/TopoFR/README.md +++ b/face_module/TopoFR/README.md @@ -1,8 +1,13 @@

TopoFR: A Closer Look at Topology Alignment on Face Recognition

If you like TopoFR, please give us a star ⭐ on GitHub for the latest update~ +
+
-This is the official PyTorch implementation of ["[NeurIPS 2024] TopoFR: A Closer Look at Topology Alignment on Face Recognition"](https://arxiv.org/abs/2410.10587). +This is the official PyTorch implementation of ["[NeurIPS 2024] TopoFR: A Closer Look at Topology Alignment on Face Recognition"](https://proceedings.neurips.cc/paper_files/paper/2024/hash/419b6c974712adb884bfbbeea8e94d1b-Abstract-Conference.html). + + +[[Arxiv Version]](https://arxiv.org/abs/2410.10587) [[Code in Co-Author’s Rep.]](https://github.com/DanJun6737/TopoFR)[[机器之心]](https://www.jiqizhixin.com/articles/2024-10-17-6) [[CVer]](https://mp.weixin.qq.com/s/3NegnpJUGPfI_dOfkp_4LQ) [[CSDN]](https://blog.csdn.net/sunbaigui/article/details/143230746?spm=1001.2014.3001.5502) ![image](docs/TopoFR.png) @@ -26,6 +31,10 @@ You can download the test dataset IJB-C as follows: python -m torch.distributed.launch --nproc_per_node=4 --nnodes=1 --node_rank=0 --master_addr="127.0.0.1" --master_port=12581 train.py ``` +## Hugging Face +You can easily experience our model on the Hugging Face space: + + ## How to Test Models 1. You need to modify the path of IJB-C dataset in eval_ijbc_ms1mv2.py and eval_ijbc_glint360k.py. @@ -66,12 +75,15 @@ python eval_ijbc_glint360k.py --model-prefix work_dirs/glint360k_r100/Glint360K_ * If you find it helpful for you, please consider citing our paper 📝 and giving a star ⭐. ``` @article{dan2024topofr, - title={TopoFR: A Closer Look at Topology Alignment on Face Recognition}, + title={Topofr: A closer look at topology alignment on face recognition}, author={Dan, Jun and Liu, Yang and Deng, Jiankang and Xie, Haoyu and Li, Siyuan and Sun, Baigui and Luo, Shan}, - journal={arXiv preprint arXiv:2410.10587}, + journal={Advances in Neural Information Processing Systems}, + volume={37}, + pages={37213--37240}, year={2024} } ``` ## Acknowledgments -We thank Insighface for the excellent [code base](https://github.com/deepinsight/insightface/tree/master/recognition/arcface_torch). +We thank Insighface for the excellent [code base](https://github.com/deepinsight/insightface/tree/master/recognition/arcface_torch). +We would like to express our gratitude to the researcher [@developer0hye](https://github.com/developer0hye) for providing an outstanding [HF demo](https://huggingface.co/spaces/developer0hye/TopoFR-Face-Recognition). diff --git a/face_module/TransFace/README.md b/face_module/TransFace/README.md index 86ad966f..02b06be8 100644 --- a/face_module/TransFace/README.md +++ b/face_module/TransFace/README.md @@ -4,7 +4,7 @@ This is the official PyTorch implementation of [[ICCV-2023] TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective](https://openaccess.thecvf.com/content/ICCV2023/html/Dan_TransFace_Calibrating_Transformer_Training_for_Face_Recognition_from_a_Data-Centric_ICCV_2023_paper.html). -[[Arxiv Version]](https://arxiv.org/abs/2308.10133) +[[Arxiv Version]](https://arxiv.org/abs/2308.10133) [[Code in Co-Author's Rep.]](https://github.com/DanJun6737/TransFace) [[ModelScope]](https://www.modelscope.cn/models/iic/cv_vit_face-recognition) [[阿里云]](https://developer.aliyun.com/article/1319924) [[CVer]](https://mp.weixin.qq.com/s/n9HKqZ7DAt5Woo5BCwxq6w) [[CSDN]](https://blog.csdn.net/sunbaigui/article/details/136556006)