ReLi3D: Relightable Multi-view 3D Reconstruction with Disentangled Illumination
A unified feed-forward pipeline for relightable 3D reconstruction from sparse views in under one second.
jan-niklas-dihlmann
Andreas Engelhardt
•
•
1 min read
ReSWD: ReSTIR‘d, not shaken. Combining Reservoir Sampling and Sliced Wasserstein Distance for Variance Reduction.
Distribution matching is central to many vision and graphics tasks, where the widely used Wasserstein distance is too costly to compute for high dimensional distributions. The …
SViM3D: Stable Video Material Diffusion for Single Image 3D Generation
We present Stable Video Materials 3D (SViM3D), a framework to predict multi-view consistent physically based rendering (PBR) materials, given a single image. Recently, video …
andreas-engelhardt
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
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 …