The official PyTorch implementation for paper "SurfaceNet: Adversarial SVBRDF Estimation from a Single Image"

MatFuse: Controllable Material Generation with Diffusion Models (CVPR2024)

SVBRDF Estimation using a Physically-based Differentiable Renderer

Script to create a dataset of PBR materials (SVBRDF) from CC0 sources online.

Efficient 3D reconstruction and relighting of complex scenes with global illumination effects using Neural Radiance Transfer Fields

AI based, large scale, HD material acquisition and creation from a couple pictures.

The official repo for [Neural Differential Appearance Equations, TOG (SIGGRAPH Asia 2024)]

SVBRDF Recovery and Synthesis From a Single Image using an Unsupervised Generative Adversarial Network

Thesis and supplementary material for "SVBRDF Texture Synthesis with Convolutional Autoencoders".

🙋 [HIRING] Rust-based 3D renderer to visualize PBR materials and shaders.

Generate SVBRDF materials using Latent Diffusion Models, without leaving Blender.

The idea of this repo is to collect datasets and deep methods for material / surface appearance modeling. You are invited to contribute to this list by adding a pull request.