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Learned Fitting of Spatially Varying BRDFs
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
The use of spatially varying reflectance models (SVBRDF) is the state of the art in physically based rendering and the ultimate goal is to acquire them from real world samples. Recently several promising deep learning ...
Neural BTF Compression and Interpolation
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
The Bidirectional Texture Function (BTF) is a data-driven solution to render materials with complex appearance. A typical capture contains tens of thousands of images of a material sample under varying viewing and lighting ...
DeepBRDF: A Deep Representation for Manipulating Measured BRDF
(The Eurographics Association and John Wiley & Sons Ltd., 2020)
Effective compression of densely sampled BRDF measurements is critical for many graphical or vision applications. In this paper, we present DeepBRDF, a deep-learning-based representation that can significantly reduce the ...
Neural Shading Fields for Efficient Facial Inverse Rendering
(The Eurographics Association and John Wiley & Sons Ltd., 2023)
Given a set of unstructured photographs of a subject under unknown lighting, 3D geometry reconstruction is relatively easy, but reflectance estimation remains a challenge. This is because it requires disentangling lighting ...