47 citations · 80 across the 9 of their papers we have counts for
9 papers
Real Acoustic Fields: An Audio-Visual Room Acoustics Dataset and Benchmark
Ziyang Chen, Israel D. Gebru, Christian Richardt +4
We present a new dataset called Real Acoustic Fields (RAF) that captures real acoustic room data from multiple modalities. The dataset includes high-quality and densely captured ro…
VR-NeRF: High-Fidelity Virtualized Walkable Spaces
Linning Xu, Vasu Agrawal, William Laney +10
We present an end-to-end system for the high-fidelity capture, model reconstruction, and real-time rendering of walkable spaces in virtual reality using neural radiance fields. To…
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis
Ziyu Wan, Christian Richardt, Aljaž Božič +8
Neural radiance fields (NeRFs) enable novel view synthesis with unprecedented visual quality. However, to render photorealistic images, NeRFs require hundreds of deep multilayer pe…
EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras (Extended Abstract)
Helge Rhodin, Christian Richardt, Dan Casas +5
Marker-based and marker-less optical skeletal motion-capture methods use an outside-in arrangement of cameras placed around a scene, with viewpoints converging on the center. They…
Real-time Halfway Domain Reconstruction of Motion and Geometry
Lucas Thies, Michael Zollhöfer, Christian Richardt +2
We present a novel approach for real-time joint reconstruction of 3D scene motion and geometry from binocular stereo videos. Our approach is based on a novel variational halfway-do…
Video Depth-From-Defocus
Hyeongwoo Kim, Christian Richardt, Christian Theobalt
Many compelling video post-processing effects, in particular aesthetic focus editing and refocusing effects, are feasible if per-frame depth information is available. Existing comp…