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20202025
most citedMatFormer: A Generative Model for Procedural Materials

44 citations · 141 across the 13 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.GR2022★ 44 cited

MatFormer: A Generative Model for Procedural Materials

Paul Guerrero, Miloš Hašan, Kalyan Sunkavalli +3

Procedural material graphs are a compact, parameteric, and resolution-independent representation that are a popular choice for material authoring. However, designing procedural mat…

cs.GR2022★ 21 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…

cs.GR2022★ 2 cited

TileGen: Tileable, Controllable Material Generation and Capture

Xilong Zhou, Miloš Hašan, Valentin Deschaintre +3

Recent methods (e.g. MaterialGAN) have used unconditional GANs to generate per-pixel material maps, or as a prior to reconstruct materials from input photographs. These models can…

cs.GR2022

Differentiable Rendering of Neural SDFs through Reparameterization

Sai Praveen Bangaru, Michaël Gharbi, Tzu-Mao Li +7

We present a method to automatically compute correct gradients with respect to geometric scene parameters in neural SDF renderers. Recent physically-based differentiable rendering…

cs.CV2022★ 2 cited

Physically-Based Editing of Indoor Scene Lighting from a Single Image

Zhengqin Li, Jia Shi, Sai Bi +6

We present a method to edit complex indoor lighting from a single image with its predicted depth and light source segmentation masks. This is an extremely challenging problem that…