BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities
Shaozhe Hao, Xuantong Liu, Xianbiao Qi^†, Shihao Zhao, Bojia Zi, Rong Xiao, Kai Han^#, Kwan-Yee K. Wong^#
arXiv, 2024
[Project page]   [arXiv]   [Code]  

Elucidating the Design Space of Language Models for Image Generation
Xuantong Liu, Shaozhe Hao, Xianbiao Qi^†, Tianyang Hu^#, Jun Wang, Rong Xiao, Yuan Yao^#
arXiv, 2024
[Project page]   [arXiv]   [Code]  

ArtiFade: Learning to Generate High-quality Subject from Blemished Images
Shuya Yang^*, Shaozhe Hao^*, Yukang Cao^#, Kwan-Yee K. Wong^#
arXiv, 2024
[Project page]   [arXiv]   [Code]  

CusConcept: Customized Visual Concept Decomposition with Diffusion Models
Zhi Xu^*, Shaozhe Hao^*, Kai Han^#
WACV 2025
[Project page]   [arXiv]   [Code]  

ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction
Shaozhe Hao, Kai Han^#, Zhengyao Lv, Shihao Zhao, Kwan-Yee K. Wong^#
ECCV 2024 (Oral)
[Project page]   [arXiv]   [Code]  

Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation
Shihao Zhao, Shaozhe Hao, Bojia Zi, Huaizhe Xu, Kwan-Yee K. Wong
ECCV 2024
[Project page]   [arXiv]   [Code]  

ViCo: Plug-and-play Visual Condition for Personalized Text-to-Image Generation
Shaozhe Hao, Kai Han^#, Shihao Zhao, Kwan-Yee K. Wong^#
arXiv, 2023
[arXiv]   [Code]  

CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
Shaozhe Hao, Kai Han^#, Kwan-Yee K. Wong^#
TMLR 2024
[arXiv]   [Code]  

Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Shihao Zhao, Dongdong Chen^#, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, Kwan-Yee K. Wong^#
NeurIPS 2023
[Project page]   [arXiv]   [Code]  

Learning Attention as Disentangler for Compositional Zero-shot Learning
Shaozhe Hao, Kai Han^#, Kwan-Yee K. Wong^#
CVPR 2023
[Project page]   [arXiv]   [Code]   [Video]