most citedPhotoMat: A Material Generator Learned from Single Flash Photos

32 citations · 82 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20232 cited

Floaters No More: Radiance Field Gradient Scaling for Improved Near-Camera Training

Julien Philip, Valentin Deschaintre

NeRF acquisition typically requires careful choice of near planes for the different cameras or suffers from background collapse, creating floating artifacts on the edges of the cap…

cs.CV202332 cited

PhotoMat: A Material Generator Learned from Single Flash Photos

Xilong Zhou, Miloš Hašan, Valentin Deschaintre +4

Authoring high-quality digital materials is key to realism in 3D rendering. Previous generative models for materials have been trained exclusively on synthetic data; such data is l…

cs.CV20231 cited

Materialistic: Selecting Similar Materials in Images

Prafull Sharma, Julien Philip, Michaël Gharbi +3

Separating an image into meaningful underlying components is a crucial first step for both editing and understanding images. We present a method capable of selecting the regions of…

cs.GR202326 cited

Generating Procedural Materials from Text or Image Prompts

Yiwei Hu, Paul Guerrero, Miloš Hašan +2

Node graph systems are used ubiquitously for material design in computer graphics. They allow the use of visual programming to achieve desired effects without writing code. As high…

cs.GR202221 cited

Node Graph Optimization Using Differentiable Proxies

Yiwei Hu, Paul Guerrero, Miloš Hašan +2

Graph-based procedural materials are ubiquitous in content production industries. Procedural models allow the creation of photorealistic materials with parametric control for flexi…

cs.GR2022

Controlling Material Appearance by Examples

Yiwei Hu, Miloš Hašan, Paul Guerrero +2

Despite the ubiquitousness of materials maps in modern rendering pipelines, their editing and control remains a challenge. In this paper, we present an example-based material contr…