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CVPR 2026: 3D to 4D World Modeling Advances

CVPR 2026: 3D to 4D World Modeling Advances
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💡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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Original source: 雷峰网

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