Search Results for author:
Found 2 papers, 2 papers with code
UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and UnFavOrable Sets
Generalizable neural implicit surface reconstruction aims to obtain an accurate underlying geometry given a limited number of multi-view images from unseen scenes.
Pixel-wise Guidance for Utilizing Auxiliary Features in Monte Carlo Denoising
Then we design our ensembling network to obtain per-pixel ensembling weight maps, which represent pixel-wise guidance for which auxiliary feature should be dominant at reconstructing each individual pixel and use them to ensemble the two denoised results of our denosiers.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
