18 citations · 27 across the 7 of their papers we have counts for
7 papers
Meschers: Geometry Processing of Impossible Objects
Ana Dodik, Isabella Yu, Kartik Chandra +4
Impossible objects, geometric constructions that humans can perceive but that cannot exist in real life, have been a topic of intrigue in visual arts, perception, and graphics, yet…
Locality in Image Diffusion Models Emerges from Data Statistics
Artem Lukoianov, Chenyang Yuan, Justin Solomon +1
Recent work has shown that the generalization ability of image diffusion models arises from the locality properties of the trained neural network. In particular, when denoising a p…
Mirror Bridges Between Probability Measures
Leticia Mattos Da Silva, Silvia Sellán, Francisco Vargas +1
Resampling from a target measure whose density is unknown is a fundamental problem in mathematical statistics and machine learning. A setting that dominates the machine learning li…
Robust Biharmonic Skinning Using Geometric Fields
Ana Dodik, Vincent Sitzmann, Justin Solomon +1
Bounded bihramonic weights are a popular tool used to rig and deform characters for animation, to compute reduced-order simulations, and to define feature descriptors for geometry…
Score Distillation via Reparametrized DDIM
Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan Greenewald +4
While 2D diffusion models generate realistic, high-detail images, 3D shape generation methods like Score Distillation Sampling (SDS) built on these 2D diffusion models produce cart…
A Framework for Solving Parabolic Partial Differential Equations on Discrete Domains
Leticia Mattos Da Silva, Oded Stein, Justin Solomon
We introduce a framework for solving a class of parabolic partial differential equations on triangle mesh surfaces, including the Hamilton-Jacobi equation and the Fokker-Planck equ…
Variational Barycentric Coordinates
Ana Dodik, Oded Stein, Vincent Sitzmann +1
We propose a variational technique to optimize for generalized barycentric coordinates that offers additional control compared to existing models. Prior work represents barycentric…