2.3k citations · 4.5k across the 30 of their papers we have counts for
31 papers
Dynamic Inverse Rendering for Enhanced Material-Lighting Decomposition
Raza Yunus, Benjamin Ummenhofer, Jan Eric Lenssen +1
Decomposing outgoing surface radiance into material and illumination during inverse rendering is essential for applications such as relighting and augmented reality, yet it is seve…
E-3DGS: Event-Based Novel View Rendering of Large-Scale Scenes Using 3D Gaussian Splatting
Sohaib Zahid, Viktor Rudnev, Eddy Ilg +1
Novel view synthesis techniques predominantly utilize RGB cameras, inheriting their limitations such as the need for sufficient lighting, susceptibility to motion blur, and restric…
SLayR: Scene Layout Generation with Rectified Flow
Cameron Braunstein, Hevra Petekkaya, Jan Eric Lenssen +2
We introduce SLayR, Scene Layout Generation with Rectified flow, a novel transformer-based model for text-to-layout generation which can then be paired with existing layout-to-imag…
Spurfies: Sparse Surface Reconstruction using Local Geometry Priors
Kevin Raj, Christopher Wewer, Raza Yunus +2
We introduce Spurfies, a novel method for sparse-view surface reconstruction that disentangles appearance and geometry information to utilize local geometry priors trained on synth…
Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos
Leonhard Sommer, Artur Jesslen, Eddy Ilg +1
Category-level 3D pose estimation is a fundamentally important problem in computer vision and robotics, e.g. for embodied agents or to train 3D generative models. However, so far m…
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
Tom Fischer, Pascal Peter, Joachim Weickert +1
Deep learning has revolutionized the field of computer vision by introducing large scale neural networks with millions of parameters. Training these networks requires massive datas…