Jonathan T. Barron

SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild featured image

SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild

We present SHINOBI, an end-to-end framework for the reconstruction of shape, material, and illumination from object images captured with varying lighting, pose, and background. …

andreas-engelhardt
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections featured image

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. Neural approaches such as NeRF have achieved …

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Mark Boss
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