Recent image editing systems have achieved impressive semantic understanding, visual fidelity, and instruction-following ability, while video editing remains substantially more difficult and costly. In this paper, we present a simple alternative to end-to-end video editing: instead of training a monolithic video editor...
Feng Wang, Zi-Jie Li, Ce-Yuan Yang et al.· 0 citations
Tool-augmented vision-language models increasingly"think with images": they call crop, zoom, or code tools and reason over the returned pixels. However, recent work using blind tests, gain decompositions, and attention analyses has shown that returned images contribute little, raising the question: if pixels do not car...
Jiahao Shao, Yuanbo Yang, Yi-Yi Liao et al.· 3 citations
Vision-of-Thought (VoT), a framework that introduces a discrete visual-thinking layer between vision-language models (VLMs) and diffusion transformers (DiTs) that improves semantic alignment and provides a structured interface for interpretable and controllable generation is proposed.
Jingxiang Sun, Chao Liao, Zheng-Xiong Luo et al.· 0 citations
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