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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…
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…