Hu Yu

I am currently a fourth-year PhD studen in University of Science and Technology of China (USTC), advised by Feng Zhao and Feng Wu. My research interests focus on Computer Vsion, especially diffusion model, auto-regressive model, image generation, low-level vision tasks, and Fourier theory.

Email / Google Scholar

News

[02/2025] One paper accepted to CVPR 2025
[07/2024] One paper accepted to ACM MM 2024
[07/2024] Two paper accepted to ECCV 2024
[09/2023] One paper accepted to NeurIPS 2023
[09/2022] One paper accepted to NeurIPS 2022
[07/2022] Two paper accepted to ACM MM 2022
[07/2022] Two paper accepted to ECCV 2022

Research

I am now focusing on unified auto-regressive visual generation and multimodal understanding and generation. For full list of my publications, please refer to my Google Scholar.

	Frequency Autoregressive Image Generation with Continuous Tokens Hu Yu, Hao Luo, Hangjie Yuan, Yu Rong, Feng Zhao Tech report, arXiv paper / project page
	Uncovering the Text Embedding in Text-to-Image Diffusion Models Hu Yu, Hao Luo, Fan Wang, Feng Zhao Tech report, arXiv paper / project page
	Unmasking Bias in Diffusion Model Training Hu Yu, Li Shen, Jie Huang, Hongsheng Li, Feng Zhao ECCV, 2024 paper / project page
	Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing Zizheng Yang, Hu Yu, Bing Li, Jinghao Zhang, Jie Huang, Feng Zhao ECCV, 2024 paper
	FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining Zhen Zou, Hu Yu, Feng Zhao ACM MM, 2024 paper / project page
	Deep Fractional Fourier Transform Hu Yu, Jie Huang, Lingzhi Li, Man Zhou, Feng Zhao NeurIPS, 2023 Highlight paper / project page
	High-quality Image Dehazing with Diffusion Model Hu Yu, Jie Huang, Kaiwen Zheng, Man Zhou, Feng Zhao Tech report, arXiv paper / project page
	Ingredient-oriented Multi-degradation Learning for Image Restoration Jinghao Zhang, Jie Huang, Mingde Yao, Zizheng Yang, Hu Yu, Man Zhou, Feng Zhao CVPR, 2023 paper / project page
	Visual Recognition-driven Image Restoration for Multiple Degradation with Intrinsic Semantics Recovery Zizheng Yang, Jie Huang, Jiahao Chang, Man Zhou, Hu Yu, Jinghao Zhang, Feng Zhao CVPR, 2023 paper
	Efficient Multi-exposure image fusion via filter-dominated fusion and gradient-driven unsupervised learning Kaiwen Zheng, Jie Huang, Hu Yu, Feng Zhao CVPRW, 2023 paper / project page
	Frequency and Spatial Dual Guidance for Image Dehazing Hu Yu, Naishan Zheng, Man Zhou, Jie Huang, Feng Zhao ECCV, 2022 paper / project page
	Spatial-Frequency Domain Information Integration for Pan-sharpening Man Zhou, Jie Huang, Keyu Yan, Hu Yu, Xueyang Fu, Aiping Liu, Xian Wei, Feng Zhao ECCV, 2022 paper / project page
	Deep Fourier Up-Sampling Man Zhou, Hu Yu, Jie Huang, Feng Zhao, Jinwei Gu, Chen Change Loy, Deyu Meng, Chongyi Li NeurIPS, 2022 Featured Paper paper / project page
	Source-Free Domain Adaptation for Real-world Image Dehazing Hu Yu, Jie Huang, Yajing Liu, Qi Zhu, Man Zhou, Feng Zhao ACM MM, 2022 paper
	Adaptively Learning Low-high Frequency Information Integration for Pan-sharpening Man Zhou, Jie Huang, Chongyi Li, Hu Yu, Keyu Yan, Naishan Zheng, Feng Zhao ACM MM*, 2022 paper

Stolen from Jon Barron