Papers with Code 아카이브

Denoising

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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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/mchatton/w2s-tensorflow

공식 코드

Microscopy Image Restoration using Deep Learning on W2S

https://github.com/mdi-tokyotech/spatio-spectral-structure-tensor-total-variation-for-hyperspectral-image-denoising-and-destriping

공식 코드

Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping

https://github.com/mdswyz/reatco

공식 코드

Re-Attentional Controllable Video Diffusion Editing

https://github.com/me-ditto/physics-guided-mocap

공식 코드

Physics-Guided Human Motion Capture with Pose Probability Modeling

https://github.com/meclabtuda/catasynth

공식 코드

Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models

https://github.com/mediabrain-sjtu/led

공식 코드

Leapfrog Diffusion Model for Stochastic Trajectory Prediction

https://github.com/medimair/brain-mri-processing-pipeline

공식 코드

Negligible effect of brain MRI data preprocessing for tumor segmentation

https://github.com/megvii-model/HINet

공식 코드

HINet: Half Instance Normalization Network for Image Restoration

https://github.com/megvii-research/NAFNet

공식 코드

Simple Baselines for Image Restoration

https://github.com/megvii-research/NBNet

공식 코드

NBNet: Noise Basis Learning for Image Denoising with Subspace Projection

https://github.com/megvii-research/PMRID

공식 코드

Practical Deep Raw Image Denoising on Mobile Devices

https://github.com/megvii-research/TLC

공식 코드

Improving Image Restoration by Revisiting Global Information Aggregation

https://github.com/megvii-research/far3d

공식 코드

Far3D: Expanding the Horizon for Surround-view 3D Object Detection

https://github.com/megvii-research/pmn

공식 코드

Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling

https://github.com/mehdi-mbl/WordCoding

공식 코드

Combining a Context Aware Neural Network with a Denoising Autoencoder for Measuring String Similarities

https://github.com/mehedihasanbijoy/DPCSpell

공식 코드

DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework for Spelling Error Correction of Bangla and Resource Scarce Indic Languages

https://github.com/mehryaragha/NoseBiometrics

공식 코드

Nasal Patches and Curves for Expression-robust 3D Face Recognition

https://github.com/meijitian/zs-denoisier-hrem

공식 코드

Zero-Shot Image Denoising for High-Resolution Electron Microscopy

https://github.com/melhousni/DSMNet

공식 코드

Aerial Height Prediction and Refinement Neural Networks with Semantic and Geometric Guidance

https://github.com/melmaphother/timedart

공식 코드

Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting

https://github.com/mengxiangming/dmps

공식 코드

Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems

https://github.com/mengyuwang826/segrefiner

공식 코드

SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process

https://github.com/mengziyi64/cassi-self-supervised

공식 코드

Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging

https://github.com/meowuu7/geneoh-diffusion

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GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion

https://github.com/merenguelkl/ddt

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DDT: Dual-branch Deformable Transformer for Image Denoising

https://github.com/merlresearch/TI2V-Zero

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TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models

https://github.com/meta-diffub/meta-diffub

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Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration

https://github.com/meteahishali/r2c-gan

공식 코드

R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 Classification

https://github.com/mi3labucm/coooler

공식 코드

Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving Safety

https://github.com/micheledelliveneri/almasim

공식 코드

3D Detection and Characterisation of ALMA Sources through Deep Learning

https://github.com/micheledelliveneri/deepfocus

공식 코드

3D Detection and Characterisation of ALMA Sources through Deep Learning

https://github.com/microlisk/blockchain_transaction_fee_forecasting

공식 코드

Blockchain Transaction Fee Forecasting: A Comparison of Machine Learning Methods

https://github.com/microsoft/DNS-Challenge

공식 코드

Interspeech 2021 Deep Noise Suppression Challenge

https://github.com/microsoft/NeuralSpeech

공식 코드

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior

https://github.com/microsoft/ProphetNet

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Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise

https://github.com/microsoft/dialoglm

공식 코드

DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.