Get 3D object shape when poor views using feature similarity learn view interactions with UFORecon
- morrislee
- Mar 11, 2024
- 1 min read
Get 3D object shape when poor views using feature similarity learn view interactions with UFORecon
UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and UnFavOrable Data Sets
arXiv paper abstract https://arxiv.org/abs/2403.05086
arXiv PDF paper https://arxiv.org/pdf/2403.05086.pdf
Generalizable neural implicit surface reconstruction aims to obtain an accurate underlying geometry given a limited number of multi-view images from unseen scenes.
However, existing methods select only informative and relevant views using predefined scores for training and testing phases.
... introduce and validate a view-combination score to indicate the effectiveness of the input view combination.
... propose UFORecon, a robust view-combination generalizable surface reconstruction framework.
... apply cross-view matching transformers to model interactions between source images and build correlation frustums to capture global correlations.
... framework .. outperforms previous methods in terms of view-combination generalizability and ... conventional generalizable protocol trained with favorable view-combinations ...
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