Hanzhong Guo

According to our database, Hanzhong Guo authored at least 17 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition.

Jiahang Cao, Yize Huang, Hanzhong Guo, Rui Zhang, Mu Nan, Weijian Mai, Jiaxu Wang, Hao Cheng, Jingkai Sun, Gang Han, Wen Zhao, Qiang Zhang, Yijie Guo, Qihao Zheng, Chunfeng Song, Xiao Li, Ping Luo, Andrew F. Luo

CoRR, October, 2025

RewardDance: Reward Scaling in Visual Generation.

Jie Wu, Yu Gao, Zilyu Ye, Ming Li, Liang Li, Hanzhong Guo, Jie Liu, Zeyue Xue, Xiaoxia Hou, Wei Liu, Yan Zeng, Weilin Huang

CoRR, September, 2025

MagicDistillation: Weak-to-Strong Video Distillation for Large-Scale Few-Step Synthesis.

Shitong Shao, Hongwei Yi, Hanzhong Guo, Tian Ye, Daquan Zhou, Michael Lingelbach, Zhiqiang Xu, Zeke Xie

CoRR, March, 2025

Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition.

Jiahang Cao, Qiang Zhang, Hanzhong Guo, Jiaxu Wang, Hao Cheng, Renjing Xu

CoRR, March, 2025

MagicInfinite: Generating Infinite Talking Videos with Your Words and Voice.

Hongwei Yi, Tian Ye, Shitong Shao, Xuancheng Yang, Jiantong Zhao, Hanzhong Guo, Terrance Wang, Qingyu Yin, Zeke Xie, Lei Zhu, Wei Li, Michael Lingelbach, Daquan Zhou

CoRR, March, 2025

Spiking Diffusion Models.

Jiahang Cao, Hanzhong Guo, Ziqing Wang, Deming Zhou, Hao Cheng, Qiang Zhang, Renjing Xu

IEEE Trans. Artif. Intell., January, 2025

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation.

Qin Guo, Ailing Zeng, Dongxu Yue, Ceyuan Yang, Yang Cao, Hanzhong Guo, Fei Shen, Wei Liu, Xihui Liu, Dan Xu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?

Zebin You, Xinyu Zhang, Hanzhong Guo, Jingdong Wang, Chongxuan Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Real-time One-Step Diffusion-based Expressive Portrait Videos Generation.

Hanzhong Guo, Hongwei Yi, Daquan Zhou, Alexander William Bergman, Michael Lingelbach, Yizhou Yu

CoRR, 2024

Real-time Identity Defenses against Malicious Personalization of Diffusion Models.

Hanzhong Guo, Shen Nie, Chao Du, Tianyu Pang, Hao Sun, Chongxuan Li

CoRR, 2024

MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation.

Longtao Zheng, Yifan Zhang, Hanzhong Guo, Jiachun Pan, Zhenxiong Tan, Jiahao Lu, Chuanxin Tang, Bo An, Shuicheng Yan

CoRR, 2024

Try-On-Adapter: A Simple and Flexible Try-On Paradigm.

Hanzhong Guo, Jianfeng Zhang, Cheng Zou, Jun Li, Meng Wang, Ruxue Wen, Pingzhong Tang, Jingdong Chen, Ming Yang

CoRR, 2024

Are Image Distributions Indistinguishable to Humans Indistinguishable to Classifiers?

Zebin You, Xinyu Zhang, Hanzhong Guo, Jingdong Wang, Chongxuan Li

CoRR, 2024

Spiking Denoising Diffusion Probabilistic Models.

Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space.

Yiyang Guo, Ruizhe Li, Mude Hui, Hanzhong Guo, Chen Zhang, Chuangjian Cai, Le Wan, Shangfei Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Taming Lookup Tables for Efficient Image Retouching.

Sidi Yang, Binxiao Huang, Mingdeng Cao, Yatai Ji, Hanzhong Guo, Ngai Wong, Yujiu Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Gaussian Mixture Solvers for Diffusion Models.

Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023