Shape

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

Inverse Rendering for Games

Asset production in the game industry is time-consuming, and since "The Vanishing of Ethan Carter" photogrammetry has gained traction. While the asset produced by photogrammetry …

Neural Reflectance Decomposition featured image

Neural Reflectance Decomposition

Creating relightable objects from images or collections is a fundamental challenge in computer vision and graphics. This problem is also known as inverse rendering. One of the main …

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Mark Boss
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 Reflectance Decomposition

In this talk, I will present our recent work on decomposing an object into its shape, reflectance, and illumination. This highly ill-posed problem is inherently more challenging …

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