activity
20162023
most citedDeep Convolutional Denoising of Low-Light Images

37 citations · 45 across the 7 of their papers we have counts for

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7 papers · 1 filter

cs.CV2023

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…

cs.CV20231 cited

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…

cs.CV20231 cited

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…

cs.CV2022

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…

cs.CV201737 cited

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…

cs.CV20166 cited

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…