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 benchmarks overlook this...
Zi-Ying Zhang, Li-Tao Li, Junchao Liao et al.· 0 citations
This work introduces CutCraft, the first benchmark for editing-technique execution in multi-shot audio-video generation and designs an agentic editing baseline that decomposes generation into planning, shot-level synthesis, and post-hoc composition, explicitly realizing editing semantics such as J-cuts, L-cuts, and tra...
Tian-Yi Zeng, Junchao Liao, Yu-Jie Wei et al.· 1 citation
Each task and its evaluation protocol is described, the challenge leaderboards are presented, and the leading submissions are summarized, with the aim of documenting the current state of each task as measured on held-out challenge data.
A. Cioppa, Silvio Giancola, Haakan Ardo et al.· 1 citation
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