Qinyu Yang

Hi 👋. I am currently a master student at Dalian University of Technology, supervised by Prof. Zhixun Su.

My main research focus is text-to-image/video generation. I am also working at other Diffusion-related research.

Publications

Some of the papers in which I was a core participant are highlighted.

	Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models Qinyu Yang, Haoxin Chen, Yong Zhang, Menghan Xia, Xiaodong Cun, Zhixun Su, Ying Shan ECCV, 2024 Project page / arXiv / Github Plug-and-play video enhancement model based on pre-trained diffusion model.
	Measurement Guidance in Diffusion Models: Insight from Medical Image Synthesis Yimin Luo, Qinyu Yang, Yuheng Fan, Haikun Qi, Menghan Xia, TPAMI, 2024 Github We introduce uncertainty into the sampling process of the Diffusion Model and expand the Classifier-guided Method to generate samples that are more suitable for data augmentation in classification tasks.
	Target-Guided Diffusion Models for Unpaired Cross-Modality Medical Image Translation Yimin Luo, Qinyu Yang, Ziyi Liu, Zenglin Shi, Weimin Huang, Guoyan Zheng, Jun Cheng, IEEE Journal of Biomedical and Health Informatics (IF:6.7), 2024 Diffusion Model for Image Translation. We propose a target-guided diffusion model for unpaired cross-modal medical image translation.
	Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration Liyan Wang, Qinyu Yang, Cong Wang, Wei Wang, Zhixun Su, Computer Vision and Image Understanding, 2024 arXiv / Github Diffusion Model for Image Restoration. We refer to DIT and Restormer to come up with a network architecture for image restoration and design a training process for image restoration.

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