Yunfeng Wu

I'm a senior student at Xi'an Jiaotong-Liverpool University (XJTLU) in Suzhou, China, majoring in Information and Computing Science. I'll be pursuing an M.Sc. in Computer Science at The University of Hong Kong (HKU). I'm interested in computer vision and generative AI. Currently, I'm conducting research on video generation and world model.

Email / Scholar / Github

Publications

	ViBe: Ultra-High-Resolution Video Synthesis Born from Pure Images Yunfeng Wu, Hongying Cheng, Zihao He, Songhua Liu ECCV 2026 Paper / Code Naively fine-tuning by single LoRA with high-resolution images introduces noise and artifacts. We introduce Relay-LoRA, a two-stage fine-tuning method that reduces noise and enhances visual detail.
	FreeSwim: Revisiting Sliding-Window Attention Mechanisms for Training-Free Ultra-High-Resolution Video Generation Yunfeng Wu, Jiayi Song, Zhenxiong Tan, Zihao He, Songhua Liu ECCV 2026 Paper / Code We identify the root cause of degradation at high resolutions and propose an efficient Flex-Attention-based interpolation window masking mechanism for seamless 4K video generation.
	FiT: Flexible Image Transformer with Degradation Awareness Zihao He, Yunfeng Wu, Xinchao Wang, Songhua Liu ICML 2026 Paper We present Flexible Image Transformer (FIT) that explicitly models degradation awareness across the entire pipeline, from patch sampling to pixel reconstruction.
	MitPose: Multi-Granularity Guided Vision Transformer for Human Pose Estimation Yunfeng Wu, Qizhong Gao, Yize Liu, Jun Sun, Zhuozhi Li, Yuhao Jin, Yong Yue, Xiaohui Zhu INDIN 2025 Paper / Code We introduce an innovative over-parameterized convolution and global-attention complementary mechanism for multi-granularity feature representation, achieving SOTA performance on COCO and MPII benchmarks.

Intern Experiences

	Alibaba Group Research Intern \| Supervised by Xiangxiang Chu Research Direction: World Model
	Shanghai Jiao Tong University Research Intern \| Supervised by Songhua Liu Research Direction: Video Generation
	Xi'an Jiaotong-Liverpool University Research Assistant \| Supervised by Yong Yue Research Direction: Human Pose Estimation

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