Get 3D object from images captured under unknown conditions in the wild with SAMURAI
Get 3D object from images captured under unknown conditions in the wild with SAMURAI
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
arXiv paper abstract https://arxiv.org/abs/2205.15768
arXiv PDF paper https://arxiv.org/pdf/2205.15768.pdf
Project page https://markboss.me/publication/2022-samurai
YouTube https://www.youtube.com/watch?v=LlYuGDjXp-8&t=6s
Inverse rendering of an object under entirely unknown capture conditions is a fundamental challenge in computer vision and graphics.
… Solving this problem with unknown camera poses is highly challenging as it requires joint optimization over shape, radiance, and pose.
This problem is exacerbated when the input images are captured in the wild with varying backgrounds and illuminations.
Standard pose estimation techniques fail in such image collections in the wild due to very few estimated correspondences across images.
… propose a joint optimization framework to estimate the shape, BRDF, and per-image camera pose and illumination.
… works on in-the-wild online image collections of an object and produces relightable 3D assets for several use-cases such as AR/VR …
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