Single-image scene generation aims to produce a complete 3D scene mesh from a single image, including surfaces the camera did not observe. While pretrained 3D object generators encode a strong shape prior, they are mainly designed for isolated objects in a fixed canonical volume and focus mostly on indoor scenes, since...
Jiraphon Yenphraphai, Fang Li, Tian-Shuo Xu et al.· 0 citations
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
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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