Intel Corporation

Yixing Lao

Vladlen Koltun

Kai Zhang

Benjamin Ummenhofer

Stephan Richter

Sanskar Agrawal

Shenlong Wang

Described herein are techniques for learning neural reflectance shaders from images. A set of one or more machine learning models can be trained to optimize an illumination latent code and a set of reflectance latent codes for an object within a set of input images. A shader can then be generated based on a machine learning model of the one or more machine learning models. The shader is configured to sample the illumination latent code and the set of reflectance latent codes for the object. A 3D representation of the object can be rendered using the generated shader.

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Santa Clara, CA, United States of America

Yixing Lao