3D Scene Generation
Overview
3D scene generation studies how to turn prompts and visual observations into environments with coherent layouts, geometry, appearance, and sometimes motion or interaction. Methods range from procedural rules and language-model agents to diffusion, flow-matching, and autoregressive models that generate meshes, Gaussian splats, voxels, or occupancy representations. Work targets indoor design, large-scale worlds, driving scenes, and simulation for robotics, using constraints, rendering feedback, and physics checks to improve control and usability. A central challenge is balancing visual realism and scalable generation with consistent geometry, physical plausibility, editability, and reliable evaluation.
Latest papers
191 papers25 papers in the last four weeks, up 39% on the four weeks before. 0.1% of all new papers.