Yuanzhen Li

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

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

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
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