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CoVEBench: Can Video Editing Models Handle Complex Instructions?
Jiangtao Wu, Jiaming Wang, Yiwen He +7
While recent text-guided video editing models excel at elementary tasks (e.g., style transfer, object insertion), real-world user requests are highly compositional. A single prompt…
The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation
Zijie Lou, Youyun Tang, Xiaochao Qu +40
This paper presents an overview of the inaugural PortraitCraft Challenge, held as one of the official competitions at CVPR 2026. The challenge focuses on portrait composition under…
TextAlign: Preference Alignment for Text Rendering with Hierarchical Rewards
Mingxuan Cui, Jingpu Yang, Fengxian Ji +7
Faithful text rendering remains a persistent weakness of large text-to-image generative models, as it requires both semantic instruction following and fine-grained glyph-level stru…
T2AV-Compass: Towards Unified Evaluation for Text-to-Audio-Video Generation
Zhe Cao, Tao Wang, Jiaming Wang +10
Text-to-Audio-Video (T2AV) generation aims to synthesize temporally coherent video and semantically synchronized audio from natural language, yet its evaluation remains fragmented,…