Taihang Hu

According to our database, Taihang Hu authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion.

Zhengrong Yue, Taihang Hu, Mengting Chen, Haiyu Zhang, Zihao Pan, Tao Liu, Zikang Wang, Jinsong Lan, Xiaoyong Zhu, Bo Zheng, Yali Wang

CoRR, May, 2026

Continuous-Time Distribution Matching for Few-Step Diffusion Distillation.

Tao Liu, Hao Yan, Mengting Chen, Taihang Hu, Zhengrong Yue, Zihao Pan, Jinsong Lan, Xiaoyong Zhu, Ming-Ming Cheng, Bo Zheng, Yaxing Wang

CoRR, May, 2026

Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items.

Mengting Chen, Zhengrui Chen, Yongchao Du, Zuan Gao, Taihang Hu, Jinsong Lan, Chao Lin, Yefeng Shen, Xingjian Wang, Zhao Wang, Zhengtao Wu, Xiaoli Xu, Zhengze Xu, Hao Yan, Mingzhou Zhang, Jun Zheng, Qinye Zhou, Xiaoyong Zhu, Bo Zheng

CoRR, April, 2026

StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing.

Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang, Ming-Ming Cheng

Comput. Vis. Media, 2026

2025

Pixels, Patterns, but No Poetry: To See The World like Humans.

Hongcheng Gao, Zihao Huang, Lin Xu, Jingyi Tang, Xinhao Li, Yue Liu, Haoyang Li, Taihang Hu, Minhua Lin, Xinlong Yang, Ge Wu, Balong Bi, Hongyu Chen, Wentao Zhang

CoRR, July, 2025

Anchor Token Matching: Implicit Structure Locking for Training-free AR Image Editing.

Taihang Hu, Linxuan Li, Kai Wang, Yaxing Wang, Jian Yang, Ming-Ming Cheng

CoRR, April, 2025

Anchor Token Matching: Implicit Structure Locking for Training-Free AR Image Editing.

Taihang Hu, Linxuan Li, Kai Wang, Yaxing Wang, Jian Yang, Ming-Ming Cheng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts.

Hongcheng Gao, Tianyu Pang, Chao Du, Taihang Hu, Zhijie Deng, Min Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning.

Jiadong Pan, Hongcheng Gao, Zongyu Wu, Taihang Hu, Li Su, Qingming Huang, Liang Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference.

Senmao Li, Taihang Hu, Joost van de Weijer, Fahad Shahbaz Khan, Tao Liu, Linxuan Li, Shiqi Yang, Yaxing Wang, Ming-Ming Cheng, Jian Yang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis.

Taihang Hu, Linxuan Li, Joost van de Weijer, Hongcheng Gao, Fahad Shahbaz Khan, Jian Yang, Ming-Ming Cheng, Kai Wang, Yaxing Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models.

Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models.

Senmao Li, Taihang Hu, Fahad Shahbaz Khan, Linxuan Li, Shiqi Yang, Yaxing Wang, Ming-Ming Cheng, Jian Yang

CoRR, 2023

StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing.

Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang

CoRR, 2023