Shan Mu — accepted AI-conference papers

2025

Hallo3: Highly Dynamic and Realistic Portrait Image Animation with Video Diffusion Transformer

Jiahao Cui, Hui Li, Yun Zhan, Hanlin Shang, Kaihui Cheng, Yuqi Ma +4

CVPR 2025poster

Existing methodologies for animating portrait images face significant challenges, particularly in handling non-frontal perspectives, rendering dynamic objects around the portrait, and generating immersive, realistic backgrounds. In this paper, we introduce the first application of a pretrained trans…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗

2025

OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation

Hui Li, Mingwang Xu, Yun Zhan, Shan Mu, Jiaye Li, Kaihui Cheng +5

CVPR 2025highlight

Recent advancements in visual generation technologies have markedly increased the scale and availability of video datasets, which are crucial for training effective video generation models. However, a significant lack of high-quality, human-centric video datasets presents a challenge to progress in…

Cited by 2 Source ↗PDF ↗Scholar ↗