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Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. (arXiv:2209.03494v1 [cs.CV])
Sept. 9, 2022, 1:14 a.m. | Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi
cs.CV updates on arXiv.org arxiv.org
We present Neural Feature Fusion Fields (N3F), a method that improves dense
2D image feature extractors when the latter are applied to the analysis of
multiple images reconstructible as a 3D scene. Given an image feature
extractor, for example pre-trained using self-supervision, N3F uses it as a
teacher to learn a student network defined in 3D space. The 3D student network
is similar to a neural radiance field that distills said features and can be
trained with the usual differentiable …
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