Papers with Code 아카이브

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/METU-SPACE-Lab/PnP-Regularization-on-Magnitude

공식 코드

Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO Imaging

https://github.com/MHmi1/Image_Denoising_Classification

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Assessing The Impact of CNN Auto Encoder-Based Image Denoising on Image Classification Tasks

https://github.com/MIvanovska/MAD-DDPM

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Face Morphing Attack Detection with Denoising Diffusion Probabilistic Models

https://github.com/MKFMIKU/D2SM

공식 코드

Deep Semantic Statistics Matching (D2SM) Denoising Network

https://github.com/MLI-lab/ConvDecoder

공식 코드

Accelerated MRI with Un-trained Neural Networks

https://github.com/MLI-lab/cs_deep_decoder

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Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation

https://github.com/MLI-lab/overparameterized_convolutional_generators

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Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators

https://github.com/MUzairZahid/BRSR-OpGAN

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BRSR-OpGAN: Blind Radar Signal Restoration using Operational Generative Adversarial Network

https://github.com/Mathux/ACTOR

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Action-Conditioned 3D Human Motion Synthesis with Transformer VAE

https://github.com/Mehran-Soltani/ChannelNet

공식 코드

Deep Learning-Based Channel Estimation

https://github.com/Mic-map/PIRACY

공식 코드

An optimized pipeline for functional connectivity analysis in the rat brain

https://github.com/Michedev/diffusion-uncertainty

공식 코드

Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation

https://github.com/Mihails-Birjukovs/Low_C-SNR_Bubble_Detection

공식 코드

Resolving gas bubbles ascending in liquid metal from low-SNR neutron radiography images

https://github.com/Minminhfut/SSRLDACode

공식 코드

Semi-supervised representation learning via dual autoencoders for domain adaptation

https://github.com/Miraclelzk/NI-SGCN

공식 코드

Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising

https://github.com/MohammadSadeghSalehi/ISGD

공식 코드

Bilevel Learning with Inexact Stochastic Gradients

https://github.com/MohammadSadeghSalehi/MAID

공식 코드

An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learning

https://github.com/Muhammad-Huzaifaa/Defensive_Diffusion

공식 코드

On enhancing the robustness of Vision Transformers: Defensive Diffusion

https://github.com/ND-HowardGroup/JPP_review_code_2020

공식 코드

Machine learning for faster and smarter fluorescence lifetime imaging microscopy

https://github.com/ND-HowardGroup/SPIE-CNN-FLIM-Denoising

공식 코드

Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM)

https://github.com/NIEQiang001/unsupervised-human-pose

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Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement

https://github.com/NVIDIA/NeMo

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Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration

https://github.com/NVlabs/noise2noise

공식 코드

Noise2Noise: Learning Image Restoration without Clean Data

https://github.com/NVlabs/nvdiffrecmc

공식 코드

Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising

https://github.com/NesterukSergey/segmentation_image_augmentation

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Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case

https://github.com/NeuralTextualInversion/NeTI

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A Neural Space-Time Representation for Text-to-Image Personalization

https://github.com/NhatHoang2002/MotionMix

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MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation

https://github.com/NicholasJohnson2020/LearningLowRankMatrices

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Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM

https://github.com/NuayHL/TimeStepGenerating

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Time Step Generating: A Universal Synthesized Deepfake Image Detector

https://github.com/Null-0000/ViMAEdit

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Vision-guided and Mask-enhanced Adaptive Denoising for Prompt-based Image Editing

https://github.com/OFA-Sys/ONE-PEACE

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ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

https://github.com/OpenImagingLab/DualDn

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DualDn: Dual-domain Denoising via Differentiable ISP

https://github.com/P-Song/CDLMRI

공식 코드

Coupled Dictionary Learning for Multi-contrast MRI Reconstruction

https://github.com/PAN083/DiffSCI

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DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model

https://github.com/PCJohn/dip-spectral

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The Spectral Bias of the Deep Image Prior

https://github.com/PKU-ICST-MIPL/FinePOSE_CVPR2024

공식 코드

FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models

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