Browse > Computer Vision > Denoising

Denoising

210 papers with code · Computer Vision

Denoising is the task of removing noise from an image.

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Latest papers with code

Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification

16 Oct 2019opendenoising/extension

This paper proposes an upgraded electro-magnetic side-channel attack that automatically reconstructs the intercepted data.

DENOISING

0
16 Oct 2019

Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation

7 Oct 2019IljaManakov/HDcycleGAN

We cast the problem of image denoising as a domain translation problem between high and low noise domains.

IMAGE DENOISING

1
07 Oct 2019

Face Manifold: Manifold Learning for Synthetic Face Generation

3 Oct 2019SCL-UT/face-manifold

The main challenge of such techniques is a vital need for large 3D face datasets.

3D FACE RECONSTRUCTION DENOISING FACE GENERATION FACE RECOGNITION

8
03 Oct 2019

Overcoming Data Limitation in Medical Visual Question Answering

26 Sep 2019aioz-ai/MICCAI19-MedVQA

Traditional approaches for Visual Question Answering (VQA) require large amount of labeled data for training.

DENOISING META-LEARNING QUESTION ANSWERING VISUAL QUESTION ANSWERING

1
26 Sep 2019

IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI

24 Sep 2019yqx7150/IFR-Net-Code

To improve the compressive sensing MRI (CS-MRI) approaches in terms of fine structure loss under high acceleration factors, we have proposed an iterative feature refinement model (IFR-CS), equipped with fixed transforms, to restore the meaningful structures and details.

DENOISING

1
24 Sep 2019

Rethinking the CSC Model for Natural Images

12 Sep 2019drorsimon/CSCNet

Sparse representation with respect to an overcomplete dictionary is often used when regularizing inverse problems in signal and image processing.

DENOISING

4
12 Sep 2019

Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework

12 Sep 2019AlbertChen1991/nEM

Distant supervision for relation extraction enables one to effectively acquire structured relations out of very large text corpora with less human efforts.

DENOISING RELATION EXTRACTION

1
12 Sep 2019

Self-Supervised Deep Depth Denoising

3 Sep 2019VCL3D/DeepDepthDenoising

Specifically, the proposed autoencoder exploits multiple views of the same scene from different points of view in order to learn to suppress noise in a self-supervised end-to-end manner using depth and color information during training, yet only depth during inference.

3D RECONSTRUCTION DENOISING

28
03 Sep 2019

Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction

3 Sep 2019yqx7150/WDAEPRec

At the stage of prior learning, transformed feature images obtained by undecimated wavelet transform are stacked as an input of denoising autoencoder network (DAE).

DENOISING IMAGE RECONSTRUCTION

0
03 Sep 2019

Variational Denoising Network: Toward Blind Noise Modeling and Removal

29 Aug 2019zsyOAOA/VDNet

On one hand, as other data-driven deep learning methods, our method, namely variational denoising network (VDN), can perform denoising efficiently due to its explicit form of posterior expression.

IMAGE DENOISING

22
29 Aug 2019