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Despite the ubiquitousness of materials maps in modern rendering pipelines,their editing and control remains a challenge. In this paper, we present anexample-based material control method to augment input material maps based onuser-provided material photos. We train a tileable version of MaterialGAN andleverage its material prior to guide the appearance transfer, optimizing itslatent space using differentiable rendering. Our method transfers the micro andmeso-structure textures of user provided target(s) photographs, whilepreserving the structure of the input and quality of the input material. Weshow our methods can control existing material maps, increasing realism orgenerating new, visually appealing materials.

Controlling Material Appearance by Examples