AI RESEARCH
FrameVGGT: Frame Evidence Rolling Memory for streaming VGGT
arXiv CS.CV
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ArXi:2603.07690v1 Announce Type: new Streaming Visual Geometry Transformers such as StreamVGGT enable strong online 3D perception but suffer from unbounded KV-cache growth, which limits deployment over long streams. We revisit bounded-memory streaming from the perspective of geometric. In geometry-driven reasoning, memory quality depends not only on how many tokens are retained, but also on whether the retained memory still preserves sufficiently coherent local.