Material Acquisition

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
Single Image BRDF Parameter Estimation with a Conditional Adversarial Network featured image

Single Image BRDF Parameter Estimation with a Conditional Adversarial Network

Creating plausible surfaces is an essential component in achieving a high degree of realism in rendering. To relieve artists, who create these surfaces in a time-consuming, manual …

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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