1 citations · 1 across the 3 of their papers we have counts for
4 papers
From Phase to Phenomenon: Self-Supervised Learning of Subsurface Scattering with Minimal Phase-shift Inputs
Arjun Majumdar, Raphael Braun, Andreas Engelhardt +1
We propose a self-supervised pretraining framework for learning sub-surface scattering (SSS) light transport representations from minimal input. Our method leverages a stereo proje…
Arbor: Explicit Geometric Conditioning for Controllable 3D Asset Generation
Jan-Niklas Dihlmann, Andreas Engelhardt, Simon Donne +2
Text and image conditioned 3D models now generate convincing assets, but they still offer little direct control over the space an object should occupy or avoid. In authoring, this…
Subsurface Scattering for 3D Gaussian Splatting
Jan-Niklas Dihlmann, Arjun Majumdar, Andreas Engelhardt +2
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 Splat…
SIGNeRF: Scene Integrated Generation for Neural Radiance Fields
Jan-Niklas Dihlmann, Andreas Engelhardt, Hendrik Lensch
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 enab…