paper accepted to ICCV 2025 🎉

README.md

@@ -35,7 +35,8 @@ This repository provides the official models for the following paper:
 [Zichuan Liu](https://scholar.google.com/citations?user=-H18WY8AAAAJ), 
 [Hao Kang](https://scholar.google.com/citations?user=VeTCSyEAAAAJ), 
 [Xin Lu](https://scholar.google.com/citations?user=mFC0wp8AAAAJ)<br />
-ByteDance Intelligent Creation
+ByteDance Intelligent Creation<br />
+**ICCV 2025**
 
 > **Abstract:** Achieving flexible and high-fidelity identity-preserved image generation remains formidable, particularly with advanced Diffusion Transformers (DiTs) like FLUX. We introduce **InfiniteYou (InfU)**, one of the earliest robust frameworks leveraging DiTs for this task. InfU addresses significant issues of existing methods, such as insufficient identity similarity, poor text-image alignment, and low generation quality and aesthetics. Central to InfU is InfuseNet, a component that injects identity features into the DiT base model via residual connections, enhancing identity similarity while maintaining generation capabilities. A multi-stage training strategy, including pretraining and supervised fine-tuning (SFT) with synthetic single-person-multiple-sample (SPMS) data, further improves text-image alignment, ameliorates image quality, and alleviates face copy-pasting. Extensive experiments demonstrate that InfU achieves state-of-the-art performance, surpassing existing baselines. In addition, the plug-and-play design of InfU ensures compatibility with various existing methods, offering a valuable contribution to the broader community.
 
@@ -96,11 +97,10 @@ This research aims to positively impact the field of Generative AI. Any usage of
 If you find InfiniteYou useful for your research or applications, please cite our paper:
 
 ```bibtex
-@article{jiang2025infiniteyou,
+@inproceedings{jiang2025infiniteyou,
   title={{InfiniteYou}: Flexible Photo Recrafting While Preserving Your Identity},
   author={Jiang, Liming and Yan, Qing and Jia, Yumin and Liu, Zichuan and Kang, Hao and Lu, Xin},
-  journal={arXiv preprint},
-  volume={arXiv:2503.16418},
+  booktitle={ICCV},
   year={2025}
 }
 ```