PBR Texture Generator

Select input photos to be converted to textures. The data is processed locally and within seconds.

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About the pix2pbr Project

This demo is based on Thorben's master thesis: Synthesis of Textures for Automotive Simulations Using Deep Learning [Master Thesis]. Our neural networks were trained in PyTorch and exported to TensorFlow.js using onnx. They synthesize the most common PBR textures from the metallic roughness workflow based on a single RGB input image. Inputs for which the z-height correlates positively with the brightness are particularly suitable. If there are several input images, the textures are created for each image individually.