A unified geometry-aware memory framework is proposed, whose patch-memory and tiled-PRoPE components introduce no additional learnable parameters, combining explicit 3D patch retrieval with projective camera conditioning to enable geometry-consistent camera control and faithful long-horizon scene recall.
This work conducts a large-scale evaluation of more than 20 recent MLLMs and shows that video instruction following remains challenging for current models, especially for instructions with many constraints, semantic constraints, or complex conditional structures that require selecting the correct branch or path based o...
Hongbo Liu, Peixian Chen, Siyuan Liu et al.· 0 citations
VGI-bench is introduced, containing 27 tasks and 810 instances, organized by a two-level taxonomy of task domains and skill tags for fine-grained evaluation of visual reasoning capabilities of video generation models, and it is hoped VGI-bench will help stimulate the development of next-generation video generation mode...
Xuan He, Cong Wei, Yuhao Cheng et al.· 3 citations
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