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Denoising

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하위 태스크: 6
평가표: 6
보존된 평가 기록: 15

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

<span style="color:grey; opacity: 0.6">( Image credit: Beyond a Gaussian Denoiser )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/vis-opt-group/bl

공식 코드

Bilevel Fast Scene Adaptation for Low-Light Image Enhancement

https://github.com/vishwa91/deepir

공식 코드

Thermal Image Processing via Physics-Inspired Deep Networks

https://github.com/visinf/n3net

공식 코드

Neural Nearest Neighbors Networks

https://github.com/visionresearchlab/synthset

공식 코드

SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture

https://github.com/visualaikhu/monowad

공식 코드

MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection

https://github.com/vita-epfl/deposit

공식 코드

A generic diffusion-based approach for 3D human pose prediction in the wild

https://github.com/vivekkumartri/mcddpm

공식 코드

MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI

https://github.com/vivsivaraman/designaudiopriors

공식 코드

On the Design of Deep Priors for Unsupervised Audio Restoration

https://github.com/vlogroup/pogmdm

공식 코드

Product of Gaussian Mixture Diffusion Models

https://github.com/vmboehm/pae-ablation

공식 코드

Probabilistic Autoencoder

https://github.com/vmtenorio/neighborhoodgf

공식 코드

A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters

https://github.com/vmtenorio/robust_gnn

공식 코드

Robust Graph Neural Network based on Graph Denoising

https://github.com/voilalab/inr-benchmark

공식 코드

Grids Often Outperform Implicit Neural Representations

https://github.com/voletiv/mcvd-pytorch

공식 코드

MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation

https://github.com/vpronina/DeepWienerRestoration

공식 코드

Microscopy Image Restoration with Deep Wiener-Kolmogorov filters

https://github.com/vpx-ecnu/find-website

공식 코드

FIND: Fine-tuning Initial Noise Distribution with Policy Optimization for Diffusion Models

https://github.com/vsuarezpaniagua/3-phase_finetuning

공식 코드

Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models

https://github.com/vut-hfut/eulermormer

공식 코드

EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer

https://github.com/vvvm23/sundae-vqgan

공식 코드

Megapixel Image Generation with Step-Unrolled Denoising Autoencoders

https://github.com/vzyrianov/lidargen

공식 코드

Learning to Generate Realistic LiDAR Point Clouds

https://github.com/wadieskaf/denoising_architecture_time_series_paper

공식 코드

Denoising Architecture for Unsupervised Anomaly Detection in Time-Series

https://github.com/wang-xiaodingdd/lgbpn

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LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising

https://github.com/wang-yanting/tracllm

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TracLLM: A Generic Framework for Attributing Long Context LLMs

https://github.com/wangelik/TraVaGen

공식 코드

Releasing Differentially Private Event Logs Using Generative Models

https://github.com/wangguanan/denoiserep

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DenoiseRep: Denoising Model for Representation Learning

https://github.com/wanghailin97/Guaranteed-Tensor-Recovery-Fused-Low-rankness-and-Smoothness

공식 코드

Guaranteed Tensor Recovery Fused Low-rankness and Smoothness

https://github.com/wangjiangshan0725/cove

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COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing

https://github.com/wangjiyuan9/d4rd

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Digging into contrastive learning for robust depth estimation with diffusion models

https://github.com/wangkai930418/DPL

공식 코드

LocInv: Localization-aware Inversion for Text-Guided Image Editing

https://github.com/wanglin0126/clsrec

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Contrastive Learning Augmented Social Recommendations

https://github.com/wangshuang233/DPEC-VM

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DPEC: Dual-Path Error Compensation Method for Enhanced Low-Light Image Clarity

https://github.com/wangwei-cmd/CT-image-reconstruction

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A deep network for sinogram and CT image reconstruction

https://github.com/wangweisjtu/otur

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Optimal Transport for Unsupervised Denoising Learning

https://github.com/wangya22/I3SB

공식 코드

Implicit Image-to-Image Schrodinger Bridge for Image Restoration

https://github.com/wangzc0422/c2f-tp

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C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction

https://github.com/wangzhi-swu/dtnfm

공식 코드

A Novel Truncated Norm Regularization Method for Multi-channel Color Image Denoising

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