Yanze Wu

I am currently a Researcher at ByteDance Intelligent Creation (since August 2023), focusing on AIGC topics. Prior to joining ByteDance, I spent over three years at Tencent ARC Lab, where I worked closely with Dr. Xintao Wang and Dr. Yu Li. I obtained my master's degree from Fudan University in 2020.

My research interests lie in AIGC, especially Image/Video Controllable Generation and Customized Generation.

We are looking for research interns at ByteDance Intelligent Creation (base Shanghai or Beijing) to work on video content creation topics. Feel free to contact me if you are interested!

News

• [09/2024] PuLID accepted by NeurIPS 2024. Check our recent updates, including PuLID-FLUX.
• [05/2024] We release PuLID, a pure and lightning ID customization method.
• [04/2024] The extension of MM-RealSR was accepted by TPAMI.
• [02/2024] One paper was accepted by CVPR 2024 as Highlight (11.9%).
• [12/2023] One paper was accepted by AAAI 2024.
• [09/2022] One paper was accepted by NeurIPS 2022.
• [07/2022] One paper was accepted by ECCV 2022.
• [07/2021] One paper was accepted by ICCV 2021.

Publications

(* equal contribution, ^# corresponding author)

PuLID: Pure and Lightning ID Customization via Contrastive Alignment
Zinan Guo*, Yanze Wu*^#, Zhuowei Chen, Lang Chen, Peng Zhang, Qian He
NeurIPS, 2024
Paper (arXiv) / Codes (GitHub) / PuLID 🤗 demo / PuLID-FLUX 🤗 demo

DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations
Tianhao Qi, Shancheng Fang, Yanze Wu, Hongtao Xie, Jiawei Liu, Lang Chen, Qian He, Yongdong Zhang
CVPR, 2024, Selected as Highlight (11.9%)
Paper (arXiv) / Project Page / Codes (GitHub)

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
Chong Mou, Xintao Wang, Liangbin Xie, Yanze Wu, Jian Zhang, Zhongang Qi, Ying Shan, Xiaohu Qie
Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
Paper (arXiv) / Codes (GitHub)

AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos
Yanze Wu*, Xintao Wang*, Gen Li, Ying Shan
Advances in Neural Information Processing Systems (NeurIPS), 2022
Paper (arXiv) / Codes (GitHub)

MM-RealSR: Metric Learning based Interactive Modulation for Real-World Super-Resolution
Chong Mou, Yanze Wu, Xintao Wang, Chao Dong, Jian Zhang, Ying Shan
European Conference on Computer Vision (ECCV), 2022
Paper (arXiv) / Codes (GitHub)

Towards Vivid and Diverse Image Colorization with Generative Color Prior
Yanze Wu, Xintao Wang, Yu Li, Honglun Zhang, Xun Zhao, Ying Shan
IEEE International Conference on Computer Vision (ICCV), 2021
Paper (arXiv) / Codes (GitHub)

Awards

Silver Medal of The 2015 ACM/ICPC Asia EC-Final Contest, 2015
Silver Medal of The 2015 ACM/ICPC Asia Changchun Regional Contest, 2015
Silver Medal of The 2016 ACM/ICPC Asia Qingdao Regional Contest, 2016
3rd Place of Hackathon HACKxFDU, 2017

Academic Services

Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS