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Found 3 papers, 2 papers with code
Neural Stochastic Screened Poisson Reconstruction
Reconstructing a surface from a point cloud is an underdetermined problem.
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
Neural Radiance Fields (NeRFs) have shown promise in applications like view synthesis and depth estimation, but learning from multiview images faces inherent uncertainties.
Breaking Bad: A Dataset for Geometric Fracture and Reassembly
We introduce Breaking Bad, a large-scale dataset of fractured objects.
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