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Beyond Legibility: Benchmarking Visual Text Rendering and In-Place Editing in Unified Video Generation

Zhang, Ziying et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
A video can exhibit convincing motion and photorealism yet fail immediately when visual text collapses. Unlike generic scene content, visual text is unforgiving in video generation: minor stroke corruption, temporal instability, or editing errors instantly break legibility and realism. Existing benc
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