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13 件Despite being a pivotal frontier, interactive world modeling remains underexplored in terms of the versatile c
In this work, we focus on extending SHARP, the popular photorealistic view synthesis method, for universal mon
Despite advances in 3D scene understanding, existing 3D Large Multimodal Models operate in offline settings, r
Object insertion aims to seamlessly composite a reference object into a specified region of a background image
Multimodal Large Language Models (MLLMs) excel at 2D semantic understanding but lack intrinsic 3D awareness, r
Learning representations of CAD models is a largely open problem. While 3D representation learning has flouris
Feed-forward 3D Gaussian Splatting methods reconstruct a scene from posed or pose-free images in a single forw
Scaling humanoid loco-manipulation requires robot-compatible demonstrations across diverse objects, whole-body
Autoregressive mesh generation has gained attention by tokenizing meshes into sequences and training models in
3D vision has rapidly evolved, driven by increasingly diverse data representations, learning paradigms, and mo
Wide-baseline matching (WBM) requires integrating geometric understanding, viewpoint changes, fine-grained per
Existing autonomous driving datasets have enabled major progress, but fall short in sensor fidelity, map compl
Humans can effortlessly perceive spatial layouts, form cognitive representations, reason about spatial relatio