Optimization

Neural Reflectance Decomposition
Creating relightable objects from images or collections is a fundamental challenge in computer vision and graphics. This problem is …
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Neural Reflectance Decomposition
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
Inverse rendering of an object under entirely unknown capture conditions is a fundamental challenge in computer vision and graphics. …
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SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
An open-source smartphone app for the quantitative evaluation of thin-layer chromatographic analyses in medicine quality screening
Substandard and falsified medicines present a serious threat to public health. Simple, low-cost screening tools are important in the …
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An open-source smartphone app for the quantitative evaluation of thin-layer chromatographic analyses in medicine quality screening
Neural Reflectance Decomposition
In this talk, I will present our recent work on decomposing an object into its shape, reflectance, and illumination. This highly …
Jul 26, 2022 10:00 AM — 11:00 AM Adobe Research
Slides
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
Decomposing a scene into its shape, reflectance and illumination is a fundamental problem in computer vision and graphics. Neural …
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Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
NeRD: Neural Reflectance Decomposition from Image Collections
Decomposing a scene into its shape, reflectance, and illumination is a challenging but important problem in computer vision and …
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NeRD: Neural Reflectance Decomposition from Image Collections