Tianyi Lu — accepted AI-conference papers

2024

MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editing

Haoyu Zhao, Tianyi Lu, Jiaxi Gu, Xing Zhang, Qingping Zheng, Zuxuan Wu* +2

ECCV 2024poster

"The diffusion model is widely leveraged for either video generation or video editing. As each field has its task-specific problems, it is difficult to merely develop a single diffusion for completing both tasks simultaneously. Video diffusion sorely relying on the text prompt can be adapted to unif…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗

2024

Zero-shot High-fidelity and Pose-controllable Character Animation

Bingwen Zhu, Fanyi Wang, Tianyi Lu, Peng Liu, Jingwen Su, Jinxiu Liu +4

IJCAI 2024poster

Image-to-video (I2V) generation aims to create a video sequence from a single image, which requires high temporal coherence and visual fidelity. However, existing approaches suffer from inconsistency of character appearances and poor preservation of fine details. Moreover, they require a large amoun…

Cited by 4 Source ↗PDF ↗Scholar ↗