58 citations · 61 across the 8 of their papers we have counts for
8 papers
EventNeuS: 3D Mesh Reconstruction from a Single Event Camera
Shreyas Sachan, Viktor Rudnev, Mohamed Elgharib +2
Event cameras offer a considerable alternative to RGB cameras in many scenarios. While there are recent works on event-based novel-view synthesis, dense 3D mesh reconstruction rema…
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…
Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view RGB and Event Streams
Viktor Rudnev, Gereon Fox, Mohamed Elgharib +2
Volumetric reconstruction of dynamic scenes is an important problem in computer vision. It is especially challenging in poor lighting and with fast motion. This is partly due to li…
3D Pose Estimation of Two Interacting Hands from a Monocular Event Camera
Christen Millerdurai, Diogo Luvizon, Viktor Rudnev +4
3D hand tracking from a monocular video is a very challenging problem due to hand interactions, occlusions, left-right hand ambiguity, and fast motion. Most existing methods rely o…
EventNeRF: Neural Radiance Fields from a Single Colour Event Camera
Viktor Rudnev, Mohamed Elgharib, Christian Theobalt +1
Asynchronously operating event cameras find many applications due to their high dynamic range, vanishingly low motion blur, low latency and low data bandwidth. The field saw remark…
NeRF for Outdoor Scene Relighting
Viktor Rudnev, Mohamed Elgharib, William Smith +3
Photorealistic editing of outdoor scenes from photographs requires a profound understanding of the image formation process and an accurate estimation of the scene geometry, reflect…
Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control
Lingjie Liu, Marc Habermann, Viktor Rudnev +3
We propose Neural Actor (NA), a new method for high-quality synthesis of humans from arbitrary viewpoints and under arbitrary controllable poses. Our method is built upon recent ne…
EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream
Viktor Rudnev, Vladislav Golyanik, Jiayi Wang +4
3D hand pose estimation from monocular videos is a long-standing and challenging problem, which is now seeing a strong upturn. In this work, we address it for the first time using…