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Hendrik Lensch

7 accepted papers

2026

ReLi3D: Relightable Multi-view 3D Reconstruction with Disentangled Illumination

ICLR 2026poster

Reconstructing 3D assets from images has long required separate pipelines for geometry reconstruction, material estimation, and illumination recovery, each with distinct limitations and computational overhead. We present MIDR-3D, the first unified end-to-end pipeline that simultaneously reconstructs…

Cited by 0SourcecodeScholar
2024

SIGNeRF: Scene Integrated Generation for Neural Radiance Fields

CVPR 2024poster

Advances in image diffusion models have recently led to notable improvements in the generation of high-quality images. In combination with Neural Radiance Fields (NeRFs) they enabled new opportunities in 3D generation. However most generative 3D approaches are object-centric and applying them to edi…

Cited by 8SourcePDFScholar
2024

Subsurface Scattering for Gaussian Splatting

NeurIPS 2024poster

3D reconstruction and relighting of objects made from scattering materials present a significant challenge due to the complex light transport beneath the surface. 3D Gaussian Splatting introduced high-quality novel view synthesis at real-time speeds. While 3D Gaussians efficiently approximate an obj…

Cited by 1SourcePDFScholar
2022

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

NeurIPS 2022accept

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 photorealistic results on novel view synthesis, but they require known camera poses. Solving this problem with unknown cam…

Cited by 81SourcePDFScholar
2021

Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition

NeurIPS 2021poster

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 success in view synthesis, but do not explicitly perform decomposition and instead operate exclusively on radiance (the p…