Jiangtao Yao — accepted AI-conference papers

2026

Learning Stochastic Bridges for Video Object Removal via Video-to-Video Translation

Zijie Lou, Xiangwei Feng, Jiaxin Wang, Jiangtao Yao, Fei Che, Tianbao Liu +4

ICML 2026poster

Existing video object removal methods predominantly rely on diffusion models following a noise-to-data paradigm, where generation starts from uninformative Gaussian noise. This approach discards the rich structural and contextual priors present in the original input video. Consequently, such methods…

Cited by 0 Source ↗code ↗Scholar ↗

2026

Self-Prompting Diffusion Transformer for Open-Vocabulary Scene Text Edit via In-Context Learning

Hongxi Li, Tong Wang, WU CHENGJING, Tianbao Liu, Jiangtao Yao, Xiaochao Qu +3

ICML 2026poster

Scene text editing aims to modify text in a target region of an image while preserving its background style and texture. Existing methods rely solely on image background information while neglecting the visual details of target regions, which discards stylistic features in the original text and esse…

Cited by 0 Source ↗Scholar ↗