850 citations · 2.5k across the 63 of their papers we have counts for
11 papers · 1 filter
Efficient Geometry-aware 3D Generative Adversarial Networks
Eric R. Chan, Connor Z. Lin, Matthew A. Chan +9
Unsupervised generation of high-quality multi-view-consistent images and 3D shapes using only collections of single-view 2D photographs has been a long-standing challenge. Existing…
MantissaCam: Learning Snapshot High-dynamic-range Imaging with Perceptually-based In-pixel Irradiance Encoding
Haley M. So, Julien N. P. Martel, Piotr Dudek +1
The ability to image high-dynamic-range (HDR) scenes is crucial in many computer vision applications. The dynamic range of conventional sensors, however, is fundamentally limited b…
BACON: Band-limited Coordinate Networks for Multiscale Scene Representation
David B. Lindell, Dave Van Veen, Jeong Joon Park +1
Coordinate-based networks have emerged as a powerful tool for 3D representation and scene reconstruction. These networks are trained to map continuous input coordinates to the valu…
Advances in Neural Rendering
Ayush Tewari, Justus Thies, Ben Mildenhall +14
Synthesizing photo-realistic images and videos is at the heart of computer graphics and has been the focus of decades of research. Traditionally, synthetic images of a scene are ge…
Towards Retina-Quality VR Video Streaming: 15ms Could Save You 80% of Your Bandwidth
Luke Hsiao, Brooke Krajancich, Philip Levis +2
Virtual reality systems today cannot yet stream immersive, retina-quality virtual reality video over a network. One of the greatest challenges to this goal is the sheer data rates…
Fast Training of Neural Lumigraph Representations using Meta Learning
Alexander W. Bergman, Petr Kellnhofer, Gordon Wetzstein
Novel view synthesis is a long-standing problem in machine learning and computer vision. Significant progress has recently been made in developing neural scene representations and…