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Dgan: Disentangled Representation Learning For Anisotropic Brdf Reconstruction
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Dgan: Disentangled Representation Learning For Anisotropic Brdf Reconstruction
Accurate reconstruction of real-world materials' appearance from a very limited number of samples is still a huge challenge in computer vision and graphics. In this paper, we present a novel deep architecture, Disentangled Generative Adversarial Network (
Accurate reconstruction of real-world materials' appearance from a very limited number of samples is still a huge challenge in computer vision and graphics. In this paper, we present a novel deep architecture, Disentangled Generative Adversarial Network (
