Target-augmented material maps
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United States of America
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Apr 1, 2025
Grant Date -
May 16, 2024
app pub date -
Nov 11, 2022
filing date -
Nov 11, 2022
priority date (Note) -
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status (Latency Note)
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Abstract
Certain aspects and features of this disclosure relate to rendering images using target-augmented material maps. In one example, a graphics imaging application is loaded with a scene and an input material map, as well as a file for a target image. A stored, material generation prior is accessed by the graphics imaging application. This prior, as an example, is based on a pre-trained, generative adversarial network (GAN). An input material appearance from the input material map is encoded to produce a projected latent vector. The value for the projected latent vector is optimized to produce the material map that is used to render the scene, producing a material map augmented by a realistic target material appearance.
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