2021
DOI: 10.48550/arxiv.2112.02520
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Neural Photometry-guided Visual Attribute Transfer

Carlos Rodriguez-Pardo,
Elena Garces

Abstract: We present a deep learning-based method for propagating spatially-varying visual material attributes (e.g. texture maps or image stylizations) to larger samples of the same or similar materials. For training, we leverage images of the material taken under multiple illuminations and a dedicated data augmentation policy, making the transfer robust to novel illumination conditions and affine deformations. Our model relies on a supervised image-to-image translation framework and is agnostic to the transferred doma… Show more

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