activity
20182022
most citedLION: Latent Point Diffusion Models for 3D Shape Generation

190 citations · 233 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CV2022190 cited

LION: Latent Point Diffusion Models for 3D Shape Generation

Xiaohui Zeng, Arash Vahdat, Francis Williams +4

Denoising diffusion models (DDMs) have shown promising results in 3D point cloud synthesis. To advance 3D DDMs and make them useful for digital artists, we require (i) high generat…

cs.CV20227 cited

Learning Smooth Neural Functions via Lipschitz Regularization

Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson +2

Neural implicit fields have recently emerged as a useful representation for 3D shapes. These fields are commonly represented as neural networks which map latent descriptors and 3D…

cs.CV2020

Human 3D keypoints via spatial uncertainty modeling

Francis Williams, Or Litany, Avneesh Sud +2

We introduce a technique for 3D human keypoint estimation that directly models the notion of spatial uncertainty of a keypoint. Our technique employs a principled approach to model…

cs.CV2019

VoronoiNet: General Functional Approximators with Local Support

Francis Williams, Daniele Panozzo, Kwang Moo Yi +1

Voronoi diagrams are highly compact representations that are used in various Graphics applications. In this work, we show how to embed a differentiable version of it -- via a novel…

cs.LG201936 cited

Gradient Dynamics of Shallow Univariate ReLU Networks

Francis Williams, Matthew Trager, Claudio Silva +3

We present a theoretical and empirical study of the gradient dynamics of overparameterized shallow ReLU networks with one-dimensional input, solving least-squares interpolation. We…

cs.GR2019

Unwind: Interactive Fish Straightening

Francis Williams, Alexander Bock, Harish Doraiswamy +5

The ScanAllFish project is a large-scale effort to scan all the world's 33,100 known species of fishes. It has already generated thousands of volumetric CT scans of fish species wh…