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.
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About this source
Source
arXiv cs.CV
Type
Research Preprint
Published
Credibility
Peer-submitted research paper on arXiv
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arXiv cs.CV·Research Preprint·Primary 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.
