MatFusion: A Generative Diffusion Model for SVBRDF Capture

Author:

Sartor Sam1ORCID,Peers Pieter1ORCID

Affiliation:

1. College of William & Mary, United States of America

Funder

National Science Foundation

Publisher

ACM

Reference47 articles.

1. Reflectance modeling by neural texture synthesis

2. Single-image SVBRDF capture with a rendering-aware deep network

3. Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, and Adrien Bousseau. 2019. Flexible SVBRDF Capture with a Multi-Image Deep Network. Comp. Graph. Forum 38, 4 (2019).

4. Prafulla Dhariwal and Alexander Nichol. 2021. Diffusion Models Beat GANs on Image Synthesis. In NeurIPS Vol. 34. 8780–8794.

5. Metappearance

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ControlMat: A Controlled Generative Approach to Material Capture;ACM Transactions on Graphics;2024-09-11

2. DreamMat: High-quality PBR Material Generation with Geometry- and Light-aware Diffusion Models;ACM Transactions on Graphics;2024-07-19

3. Diffusion Texture Painting;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

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