6 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.GR2023★ 1 cited
Neural Stochastic Screened Poisson Reconstruction
Silvia Sellán, Alec Jacobson
Reconstructing a surface from a point cloud is an underdetermined problem. We use a neural network to study and quantify this reconstruction uncertainty under a Poisson smoothness…
cs.CV2023★ 6 cited
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
Lily Goli, Cody Reading, Silvia Sellán +2
Neural Radiance Fields (NeRFs) have shown promise in applications like view synthesis and depth estimation, but learning from multiview images faces inherent uncertainties. Current…
cs.GR2023★ 2 cited
Reach For the Spheres: Tangency-Aware Surface Reconstruction of SDFs
Silvia Sellán, Christopher Batty, Oded Stein
Signed distance fields (SDFs) are a widely used implicit surface representation, with broad applications in computer graphics, computer vision, and applied mathematics. To reconstr…