⚡雷峰网•Stalecollected in 3h
CVPR 2026: 3D to 4D World Modeling Advances
💡Key CVPR 3D/4D papers for next-gen vision models
⚡ 30-Second TL;DR
What Changed
E-RayZer: self-supervised 3D Gaussians from multi-views, no labels
Why It Matters
Accelerates robot/AR apps by enabling label-free, real-time 3D/4D understanding and physics-aware generation.
What To Do Next
Reproduce E-RayZer from arXiv:2512.10950 for 3D pretraining.
Who should care:Researchers & Academics
Key Points
- •E-RayZer: self-supervised 3D Gaussians from multi-views, no labels
- •LagerNVS: 3D-aware latents for 30+ FPS novel view synthesis
- •PhysGM: single-image 4D with physics attrs + MPM sim
- •Trends: static 3D to dynamic 4D for spatial intelligence
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