Streaming 3D reconstruction requires more than a sequence of geometric predictions: it requires a persistent scene state that can incorporate new evidence and remain renderable as observations arrive. Latent spatial tokens offer a promising representation for this purpose, but constructing them from an image collection...
Fang Li, Jiraphon Yenphraphai, Quentin Herau et al.· 0 citations
Physical world modeling requires predicting how interactions change a scene, not merely generating coherent motion. We propose STRIKE, a framework that separates visual state transition learning from dense video generation. We construct event-aligned supervision by extracting observed states from training videos and pa...
Wen-Bin Teng, Tian-Shuo Xu, De-Pu Meng et al.· 0 citations
While large language models have achieved remarkable success in isolated code generation, authentic software engineering requires sustained reasoning, complex state management, and continuous cross-domain abstraction. However, current evaluations of skill evolution in autonomous agents suffer from a critical identifiab...
Tan Zhi-Xuan, Peng-Jie Gu, Zhao-Song Li et al.· 0 citations
The UniQueR model learns a compact set of 3D anchor points that act as explicit geometric queries, enabling the network to infer scene structure, including geometry in occluded regions--in a single forward pass.
Chensheng Peng, Quentin Herau, Jiezhi Yang et al.· arXiv.org· 3 citations
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