Paper-Conference

Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition featured image

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 approaches such as NeRF have achieved remarkable …

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Mark Boss
NeRD: Neural Reflectance Decomposition from Image Collections featured image

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 graphics. This problem is inherently more …

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Mark Boss
Two-shot Spatially-varying BRDF and Shape Estimation featured image

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 both computer vision and graphics. Traditional …

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Mark Boss
Deep Dual Loss BRDF Parameter Estimation featured image

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 for a higher degree of realism. Capturing or …

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Mark Boss