6 citations · 10 across the 4 of their papers we have counts for
5 papers
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…
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…
Stochastic Poisson Surface Reconstruction
Silvia Sellán, Alec Jacobson
We introduce a statistical extension of the classic Poisson Surface Reconstruction algorithm for recovering shapes from 3D point clouds. Instead of outputting an implicit function,…
Sex and Gender in the Computer Graphics Research Literature
Ana Dodik, Silvia Sellán, Theodore Kim +1
We survey the treatment of sex and gender in the Computer Graphics research literature from an algorithmic fairness perspective. The established practices on the use of gender and…
Solid Geometry Processing on Deconstructed Domains
Silvia Sellán, Herng Yi Cheng, Yuming Ma +2
Many tasks in geometry processing are modeled as variational problems solved numerically using the finite element method. For solid shapes, this requires a volumetric discretizatio…