Denoising

424 papers with code · Computer Vision

Denoising is the task of removing noise from an image.

( Image credit: Beyond a Gaussian Denoiser )

Benchmarks

Greatest papers with code

Multilingual Denoising Pre-training for Neural Machine Translation

22 Jan 2020huggingface/transformers

This paper demonstrates that multilingual denoising pre-training produces significant performance gains across a wide variety of machine translation (MT) tasks.

DENOISING UNSUPERVISED MACHINE TRANSLATION

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

ACL 2020 huggingface/transformers

We evaluate a number of noising approaches, finding the best performance by both randomly shuffling the order of the original sentences and using a novel in-filling scheme, where spans of text are replaced with a single mask token.

Ranked #10 on Question Answering on SQuAD1.1 dev (F1 metric)

DENOISING MACHINE TRANSLATION NATURAL LANGUAGE INFERENCE QUESTION ANSWERING TEXT GENERATION

Energy-Based Processes for Exchangeable Data

ICML 2020 google-research/google-research

Recently there has been growing interest in modeling sets with exchangeability such as point clouds.

DENOISING POINT CLOUD GENERATION

SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders

2 Oct 2019google-research/google-research

We show results for extractive and human baselines to demonstrate a large abstractive gap in performance.

ABSTRACTIVE TEXT SUMMARIZATION DENOISING

Unprocessing Images for Learned Raw Denoising

CVPR 2019 google-research/google-research

Machine learning techniques work best when the data used for training resembles the data used for evaluation.

IMAGE DENOISING

Deep Image Prior

CVPR 2018 DmitryUlyanov/deep-image-prior

In this paper, we show that, on the contrary, the structure of a generator network is sufficient to capture a great deal of low-level image statistics prior to any learning.

IMAGE DENOISING IMAGE INPAINTING IMAGE RESTORATION JPEG COMPRESSION ARTIFACT REDUCTION SUPER RESOLUTION SUPER-RESOLUTION

Learning to See in the Dark

CVPR 2018 cchen156/Learning-to-See-in-the-Dark

Imaging in low light is challenging due to low photon count and low SNR.

DEBLURRING DENOISING

Gaussian Gated Linear Networks

NeurIPS 2020 deepmind/deepmind-research

We propose the Gaussian Gated Linear Network (G-GLN), an extension to the recently proposed GLN family of deep neural networks.

DENOISING DENSITY ESTIMATION MULTI-ARMED BANDITS

Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

ICCV 2019 svip-lab/impersonator

In this paper, we propose to use a 3D body mesh recovery module to disentangle the pose and shape, which can not only model the joint location and rotation but also characterize the personalized body shape.

DENOISING NOVEL VIEW SYNTHESIS

Noise2Noise: Learning Image Restoration without Clean Data

ICML 2018 NVlabs/noise2noise

We apply basic statistical reasoning to signal reconstruction by machine learning -- learning to map corrupted observations to clean signals -- with a simple and powerful conclusion: it is possible to learn to restore images by only looking at corrupted examples, at performance at and sometimes exceeding training using clean data, without explicit image priors or likelihood models of the corruption.

DENOISING IMAGE RESTORATION