activity
20132023
most citedArt and the science of generative AI: A deeper dive

732 citations · 2.1k across the 26 of their papers we have counts for

collaborators
Showing cs.CVShow all

21 papers · 1 filter

cs.CV2021

Neural Strokes: Stylized Line Drawing of 3D Shapes

Difan Liu, Matthew Fisher, Aaron Hertzmann +1

This paper introduces a model for producing stylized line drawings from 3D shapes. The model takes a 3D shape and a viewpoint as input, and outputs a drawing with textured strokes,…

cs.CV2021

Contact-Aware Retargeting of Skinned Motion

Ruben Villegas, Duygu Ceylan, Aaron Hertzmann +2

This paper introduces a motion retargeting method that preserves self-contacts and prevents interpenetration. Self-contacts, such as when hands touch each other or the torso or the…

cs.CV2021

HuMoR: 3D Human Motion Model for Robust Pose Estimation

Davis Rempe, Tolga Birdal, Aaron Hertzmann +3

We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of temporal pose and shape. Though substantial progress has been made in estimating 3D human motion and shape from…

cs.CV2021★ 15 cited

The Role of Edges in Line Drawing Perception

Aaron Hertzmann

It has often been conjectured that the effectiveness of line drawings can be explained by the similarity of edge images to line drawings. This paper presents several problems with…

cs.CV2020

Toward Quantifying Ambiguities in Artistic Images

Xi Wang, Zoya Bylinskii, Aaron Hertzmann +1

It has long been hypothesized that perceptual ambiguities play an important role in aesthetic experience: a work with some ambiguity engages a viewer more than one that does not. H…

cs.CV2020

Predicting Visual Importance Across Graphic Design Types

Camilo Fosco, Vincent Casser, Amish Kumar Bedi +3

This paper introduces a Unified Model of Saliency and Importance (UMSI), which learns to predict visual importance in input graphic designs, and saliency in natural images, along w…