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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
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
Two-shot Spatially-varying BRDF and Shape Estimation
Capturing the shape and spatially-varying appearance (SVBRDF) of an object from images is a challenging task that has applications in …
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Two-shot Spatially-varying BRDF and Shape Estimation
Deep Dual Loss BRDF Parameter Estimation
Surface parameter estimation is an essential field in computer games and movies. An exact representation of a real-world surface allows …
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Deep Dual Loss BRDF Parameter Estimation