Browse SoTA > Computer Vision > Compressive Sensing

Compressive Sensing

43 papers with code · Computer Vision

Compressive Sensing is a new signal processing framework for efficiently acquiring and reconstructing a signal that have a sparse representation in a fixed linear basis.

Source: Sparse Estimation with Generalized Beta Mixture and the Horseshoe Prior

Benchmarks

Greatest papers with code

Provable Dynamic Robust PCA or Robust Subspace Tracking

24 May 2017andrewssobral/lrslibrary

Dynamic robust PCA refers to the dynamic (time-varying) extension of robust PCA (RPCA).

COMPRESSIVE SENSING

One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models

29 Mar 2017rick-chang/OneNet

On the other hand, traditional methods using signal priors can be used in all linear inverse problems but often have worse performance on challenging tasks.

COMPRESSIVE SENSING IMAGE INPAINTING SUPER RESOLUTION SUPER-RESOLUTION

Deep Fully-Connected Networks for Video Compressive Sensing

16 Mar 2016miliadis/DeepVideoCS

In this work we present a deep learning framework for video compressive sensing.

COMPRESSIVE SENSING VIDEO COMPRESSIVE SENSING

Sparse Depth Sensing for Resource-Constrained Robots

4 Mar 2017sparse-depth-sensing/sparse-depth-sensing

We address the following question: is it possible to reconstruct the geometry of an unknown environment using sparse and incomplete depth measurements?

COMPRESSIVE SENSING DEPTH ESTIMATION

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing

CVPR 2018 jianzhangcs/ISTA-Net-PyTorch

With the aim of developing a fast yet accurate algorithm for compressive sensing (CS) reconstruction of natural images, we combine in this paper the merits of two existing categories of CS methods: the structure insights of traditional optimization-based methods and the speed of recent network-based ones.

COMPRESSIVE SENSING

Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds

NeurIPS 2018 xchen-tamu/linear-lista-cpss

In this work, we study unfolded ISTA (Iterative Shrinkage Thresholding Algorithm) for sparse signal recovery.

COMPRESSIVE SENSING

One Network to Solve Them All -- Solving Linear Inverse Problems Using Deep Projection Models

ICCV 2017 image-science-lab/OneNet

While deep learning methods have achieved state-of-the-art performance in many challenging inverse problems like image inpainting and super-resolution, they invariably involve problem-specific training of the networks.

COMPRESSIVE SENSING IMAGE INPAINTING SUPER RESOLUTION SUPER-RESOLUTION

CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing

15 Dec 2016PSCLab-ASU/CSVideoNet

This paper addresses the real-time encoding-decoding problem for high-frame-rate video compressive sensing (CS).

COMPRESSIVE SENSING VIDEO COMPRESSIVE SENSING

Multi-Scale Deep Compressive Sensing Network

Visual Communications and Image Processing Conference 2018 AtenaKid/MS-DCSNet-Release

The network learns to perform both multi-scale in sampling and reconstruction thus results in better reconstruction quality.

COMPRESSIVE SENSING

Multi-Scale Deep Compressive Sensing Network

15 Sep 2018AtenaKid/MS-DCSNet-Release

With joint learning of sampling and recovery, the deep learning-based compressive sensing (DCS) has shown significant improvement in performance and running time reduction.

COMPRESSIVE SENSING