CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-centric 3D Scene Generation

CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-centric 3D Scene Generation

CGGS is a text-to-3D framework that enhances 3D-content-awareness and addresses geometric distortions through a multi-stage approach involving ego-centric generation, layout decora…

Hugging Face · Daily Papers ·Zhenyu Sun, Xiaohan Zhang · ·▲ 7 upvotes

Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.

Autores: Zhenyu Sun, Xiaohan Zhang, Qi Liu, Huan Wang

  • 7 upvotes da comunidade
  • Temas: Multi-View Latent Diffusion Model, consistency-augmented loss, optical flow, point-track correspondence, dense point clouds, 3D Gaussian reconstruction

Resumo

Resumo original (em inglês), extraído do paper:

CGGS is a text-to-3D framework that enhances 3D-content-awareness and addresses geometric distortions through a multi-stage approach involving ego-centric generation, layout decoration, and geometric refinement.

Onde ler

compartilhar: