GaMO: Geometry-aware Multi-view Diffusion Outpainting for Sparse-View 3D Reconstruction
In brief:
Recent advances in 3D reconstruction have achieved remarkable progress in high-quality scene capture from dense multi-view imagery, yet struggle when input views are limited.
Various approaches, including regularization techniques, semantic priors, and geometric constraints, have been implemented to address this challenge.
Open receipts to verify and go deeper.
About this source
Source
Hugging Face Daily Papers
Type
Research Publication
Published
Credibility
From peer-reviewed or pre-print research
Always verify with the primary source before acting on this information.
Hugging Face Daily Papers·Research Publication·Academic Source·
GaMO: Geometry-aware Multi-view Diffusion Outpainting for Sparse-View 3D Reconstruction
TL;DR
Recent advances in 3D reconstruction have achieved remarkable progress in high-quality scene capture from dense multi-view imagery, yet struggle when input views are limited.
