5 papers
Lucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modeling
Minghan Qin, Yuang Wang, Xiuyu Yang +6
Composable scene modeling aims to recover a real indoor scene as complete, editable object assets arranged as observed, giving robot simulation and embodied AI a simulation-ready r…
Seed3D 2.0: Advancing High-Fidelity Simulation-Ready 3D Content Generation
Diandian Gu, Jing Lin, Gaohong Liu +25
We present Seed3D 2.0, an advanced 3D content generation system built on Seed3D 1.0, with substantial improvements across generation fidelity, simulation-ready capabilities, and ap…
SIMART: Decomposing Monolithic Meshes into Sim-ready Articulated Assets via MLLM
Chuanrui Zhang, Minghan Qin, Yuang Wang +3
High-quality articulated 3D assets are indispensable for embodied AI and physical simulation, yet 3D generation still focuses on static meshes, leaving a gap in "sim-ready" interac…
Precise Action-to-Video Generation Through Visual Action Prompts
Yuang Wang, Chao Wen, Haoyu Guo +5
We present visual action prompts, a unified action representation for action-to-video generation of complex high-DoF interactions while maintaining transferable visual dynamics acr…
ORV: 4D Occupancy-centric Robot Video Generation
Xiuyu Yang, Bohan Li, Shaocong Xu +9
Recent embodied intelligence suffers from data scarcity, while conventional simulators lack visual realism. Controllable video generation is emerging as a promising data engine, ye…