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Deep Appearance Maps
[article]
2019
arXiv
pre-print
We propose a deep representation of appearance, i. e., the relation of color, surface orientation, viewer position, material and illumination. Previous approaches have useddeep learning to extract classic appearance representationsrelating to reflectance model parameters (e. g., Phong) orillumination (e. g., HDR environment maps). We suggest todirectly represent appearance itself as a network we call aDeep Appearance Map (DAM). This is a 4D generalizationover 2D reflectance maps, which held the
arXiv:1804.00863v3
fatcat:2hykyu5rzjaazjbxknkuoqzosu