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Denoising

209 papers with code ยท Computer Vision

Denoising is the task of removing noise from an image.

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Latest papers without code

Isolating Latent Structure with Cross-population Variational Autoencoders

ICLR 2020

A significant body of recent work has examined variational autoencoders as a powerful approach for tasks which involve modeling the distribution of complex data such as images and text.

IMAGE DENOISING

Self-Induced Curriculum Learning in Neural Machine Translation

ICLR 2020

Self-supervised neural machine translation (SS-NMT) learns how to extract/select suitable training data from comparable (rather than parallel) corpora and how to translate, in a way that the two tasks support each other in a virtuous circle.

DENOISING MACHINE TRANSLATION

Denoising Improves Latent Space Geometry in Text Autoencoders

ICLR 2020

Neural language models have recently shown impressive gains in unconditional text generation, but controllable generation and manipulation of text remain challenging.

DENOISING TEXT GENERATION

Learning from Rules Generalizing Labeled Exemplars

ICLR 2020

In many applications labeled data is not readily available, and needs to be collected via pain-staking human supervision.

DENOISING

ERNet Family: Hardware-Oriented CNN Models for Computational Imaging Using Block-Based Inference

13 Oct 2019

Convolutional neural networks (CNNs) demand huge DRAM bandwidth for computational imaging tasks, and block-based processing has recently been applied to greatly reduce the bandwidth.

IMAGE DENOISING SUPER RESOLUTION

eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference

13 Oct 2019

In this paper, we approach this goal by considering the inference flow, network model, instruction set, and processor design jointly to optimize hardware performance and image quality.

DENOISING OBJECT RECOGNITION STYLE TRANSFER SUPER RESOLUTION

Parameter Constrained Transfer Learning for Low Dose PET Image Denoising

13 Oct 2019

Positron emission tomography (PET) is widely used in clinical practice.

IMAGE DENOISING TRANSFER LEARNING

DOA Estimation by DNN-based Denoising and Dereverberation from Sound Intensity Vector

10 Oct 2019

We propose a direction of arrival (DOA) estimation method that combines sound-intensity vector (IV)-based DOA estimation and DNN-based denoising and dereverberation.

DENOISING

Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion

9 Oct 2019

In this paper, we propose a novel deep convolutional neural network to solve the general multi-modal image restoration (MIR) and multi-modal image fusion (MIF) problems.

IMAGE DENOISING IMAGE RECONSTRUCTION IMAGE RESTORATION IMAGE SUPER-RESOLUTION