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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/liugangcode/MCD

공식 코드

Graph Diffusion Transformers for Multi-Conditional Molecular Generation

https://github.com/liugangcode/data_centric_transfer

공식 코드

Data-Centric Learning from Unlabeled Graphs with Diffusion Model

https://github.com/liuhanze623/adarenet

공식 코드

Rotation-Equivariant Self-Supervised Method in Image Denoising

https://github.com/liusulin/ddpd

공식 코드

Think While You Generate: Discrete Diffusion with Planned Denoising

https://github.com/liutongkun/edgrec

공식 코드

Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection

https://github.com/liuxiangyuan/mba

공식 코드

Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment

https://github.com/liuyang12/PnP-SCI

공식 코드

Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging

https://github.com/liuyang12/PnP-SCI_python

공식 코드

Plug-and-Play Algorithms for Video Snapshot Compressive Imaging

https://github.com/liuyixin-louis/metacloak

공식 코드

MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning

https://github.com/liweitianux/cdae-eor

공식 코드

Separating the EoR Signal with a Convolutional Denoising Autoencoder: A Deep-learning-based Method

https://github.com/liwenchao0615/zerrinnet

공식 코드

Zero-Shot Enhancement of Low-Light Image Based on Retinex Decomposition

https://github.com/liyang619/MAFENN_TRANS_2022

공식 코드

Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications

https://github.com/liyinibristol/Zero-TIG

공식 코드

Zero-TIG: Temporal Consistency-Aware Zero-Shot Illumination-Guided Low-light Video Enhancement

https://github.com/lizardp1/diffusion_low_noise_regime

공식 코드

Diffusion models under low-noise regime

https://github.com/ljholyground/obiformer

공식 코드

OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions

https://github.com/ljzycmd/scd

공식 코드

Consistent Human Image and Video Generation with Spatially Conditioned Diffusion

https://github.com/lll143653/amsnet

공식 코드

Asymmetric Mask Scheme for Self-Supervised Real Image Denoising

https://github.com/llmpass/medianDenoise

공식 코드

Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations

https://github.com/llnl/graphite

공식 코드

Score-based denoising for atomic structure identification

https://github.com/lmbxmu/cutdiffusion

공식 코드

CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method

https://github.com/locuslab/deq-ddim

공식 코드

Deep Equilibrium Approaches to Diffusion Models

https://github.com/locuslab/jiio-deq

공식 코드

Joint inference and input optimization in equilibrium networks

https://github.com/lojol2327/DiffuPose

공식 코드

DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model

https://github.com/longbai1006/llcaps

공식 코드

LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion

https://github.com/longfafffa/SemiDDM-Weather

공식 코드

SemiDDM-Weather: A Semi-supervised Learning Framework for All-in-one Adverse Weather Removal

https://github.com/longinyu/sivism

공식 코드

Semi-Implicit Variational Inference via Score Matching

https://github.com/longzilicart/pip_universal

공식 코드

Prompt-In-Prompt Learning for Universal Image Restoration

https://github.com/louaaron/score-entropy-discrete-diffusion

공식 코드

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

https://github.com/lpengyang/motionclone

공식 코드

MotionClone: Training-Free Motion Cloning for Controllable Video Generation

https://github.com/lpj-github-io/MWCNNv2

공식 코드

Multi-level Wavelet Convolutional Neural Networks

https://github.com/lpj0/MWCNN

공식 코드

Multi-level Wavelet-CNN for Image Restoration

https://github.com/lpj0/bde

공식 코드

Robust Deep Ensemble Method for Real-world Image Denoising

https://github.com/lronkitty/ssrt

공식 코드

Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer

https://github.com/lronkitty/ssumamba

공식 코드

SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising

https://github.com/lsy-cython/diffcharge

공식 코드

DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model

https://github.com/lucatirel/pix2pix-wgangp

공식 코드

Novel Hybrid Integrated Pix2Pix and WGAN Model with Gradient Penalty for Binary Images Denoising

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