37 citations · 45 across the 7 of their papers we have counts for
7 papers · 1 filter
Neural Kernel Surface Reconstruction
Jiahui Huang, Zan Gojcic, Matan Atzmon +3
We present a novel method for reconstructing a 3D implicit surface from a large-scale, sparse, and noisy point cloud. Our approach builds upon the recently introduced Neural Kernel…
Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids
Wei Dong, Chris Choy, Charles Loop +3
Indoor scene reconstruction from monocular images has long been sought after by augmented reality and robotics developers. Recent advances in neural field representations and monoc…
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
Davis Rempe, Zhengyi Luo, Xue Bin Peng +5
We introduce a method for generating realistic pedestrian trajectories and full-body animations that can be controlled to meet user-defined goals. We draw on recent advances in gui…
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation
Gopal Sharma, Kangxue Yin, Subhransu Maji +3
We propose to utilize self-supervised techniques in the 2D domain for fine-grained 3D shape segmentation tasks. This is inspired by the observation that view-based surface represen…
Deep Convolutional Denoising of Low-Light Images
Tal Remez, Or Litany, Raja Giryes +1
Poisson distribution is used for modeling noise in photon-limited imaging. While canonical examples include relatively exotic types of sensing like spectral imaging or astronomy, t…
Cloud Dictionary: Sparse Coding and Modeling for Point Clouds
Or Litany, Tal Remez, Alex Bronstein
With the development of range sensors such as LIDAR and time-of-flight cameras, 3D point cloud scans have become ubiquitous in computer vision applications, the most prominent ones…