Chenxi Bao — accepted AI-conference papers

2026

Omni IIE Bench: Benchmarking the Practical Capabilities of Image Editing Models

Yujia Yang, Yuanxiang Wang, Zhenyu Guan, Tiankun Yang, Chenxi Bao, Haopeng Jin +8

CVPR 2026

While Instruction-based Image Editing (IIE) has achieved significant progress, existing benchmarks pursue task breadth via mixed evaluations. This paradigm obscures a critical failure mode crucial in professional applications: the inconsistent performance of models across tasks of varying semantic s

Cited by 0 Source ↗code ↗Scholar ↗

2023

Video Background Music Generation: Dataset, Method and Evaluation

Le Zhuo, Zhaokai Wang, Baisen Wang, Yue Liao, Chenxi Bao, Stanley Peng +4

ICCV 2023poster

Music is essential when editing videos, but selecting music manually is difficult and time-consuming. Thus, we seek to automatically generate background music tracks given video input. This is a challenging task since it requires music-video datasets, efficient architectures for video-to-music gener…

Cited by 38 PDF ↗code ↗Scholar ↗