3 papers
cs.GR2026
SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation
Guangda Ji, Qimin Chen, Qinchan Li +3
Single-view 3D generative models have achieved impressive visual quality, yet they are not designed to satisfy structural or functional requirements, and in practice, often fall sh…
cs.CV2025
Advances in 4D Representation: Geometry, Motion, and Interaction
Mingrui Zhao, Sauradip Nag, Kai Wang +5
We present a survey on 4D generation and reconstruction, a fast-evolving subfield of computer graphics whose developments have been propelled by recent advances in neural fields, g…
cs.CV2024
ARKit LabelMaker: A New Scale for Indoor 3D Scene Understanding
Guangda Ji, Silvan Weder, Francis Engelmann +2
Neural network performance scales with both model size and data volume, as shown in both language and image processing. This requires scaling-friendly architectures and large datas…