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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/onefly123/PFDiff

공식 코드

PFDiff: Training-free Acceleration of Diffusion Models through the Gradient Guidance of Past and Future

https://github.com/onwn/c2n

공식 코드

C2N: Practical Generative Noise Modeling for Real-World Denoising

https://github.com/openai/improved-diffusion

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Improved Denoising Diffusion Probabilistic Models

https://github.com/opendenoising/benchmark

공식 코드

OpenDenoising: an Extensible Benchmark for Building Comparative Studies of Image Denoisers

https://github.com/opendenoising/extension

공식 코드

Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification

https://github.com/opendenoising/interception_dataset

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Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification

https://github.com/opensparsellms/skip-dit

공식 코드

Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints

https://github.com/oppo-mente-lab/facescore

공식 코드

FaceScore: Benchmarking and Enhancing Face Quality in Human Generation

https://github.com/orhan-t/sm-cnn

공식 코드

Hyperspectral Image Denoising via Self-Modulating Convolutional Neural Networks

https://github.com/orlitany/Cloud_dictionary

공식 코드

Cloud Dictionary: Sparse Coding and Modeling for Point Clouds

https://github.com/osier0524/lottery-ticket-to-ddpm

공식 코드

Successfully Applying Lottery Ticket Hypothesis to Diffusion Model

https://github.com/ostrodmit/AlgoRec

공식 코드

Efficient First-Order Algorithms for Adaptive Signal Denoising

https://github.com/osu-mr/reside

공식 코드

MRI Recovery with Self-Calibrated Denoisers without Fully-Sampled Data

https://github.com/othmanela/medical_cert_seg

공식 코드

Certification of Deep Learning Models for Medical Image Segmentation

https://github.com/oxcsml/constrained-diffusion

공식 코드

Diffusion Models for Constrained Domains

https://github.com/oxcsml/riemannian-score-sde

공식 코드

Riemannian Score-Based Generative Modelling

https://github.com/ozercandevecioglu/blind-ecg-restoration-by-operational-cycle-gans

공식 코드

Blind ECG Restoration by Operational Cycle-GANs

https://github.com/ozgurkara99/ISNAS-DIP

공식 코드

ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior

https://github.com/p-lambda/composed_finetuning

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Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization

https://github.com/p-lambda/unlabeled_outputs

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Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization

https://github.com/p1y2z3/sdap

공식 코드

Random Sub-Samples Generation for Self-Supervised Real Image Denoising

https://github.com/paddlepaddle/paddlespatial

공식 코드

Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement

https://github.com/pan-zihao/sca

공식 코드

SCA: Improve Semantic Consistent in Unrestricted Adversarial Attacks via DDPM Inversion

https://github.com/pandayuanyu/StarDiffusion

공식 코드

Learning to Kindle the Starlight

https://github.com/paninski-lab/funimag

공식 코드

Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data

https://github.com/parap1uie-s/synfundus-1m

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SynFundus-1M: A High-quality Million-scale Synthetic fundus images Dataset with Fifteen Types of Annotation

https://github.com/patrick-swk/p-stmo

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P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation

https://github.com/paubric/python-fuse-coconet

공식 코드

CocoNet: A deep neural network for mapping pixel coordinates to color values

https://github.com/paulzhengfr/pendantss

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PENDANTSS: PEnalized Norm-ratios Disentangling Additive Noise, Trend and Sparse Spikes

https://github.com/pedromorao/counterfactual-mri-data-augmentation

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Counterfactual MRI Data Augmentation using Conditional Denoising Diffusion Generative Models

https://github.com/peizhenbai/MapDiff

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Mask prior-guided denoising diffusion improves inverse protein folding

https://github.com/pelletierlab/noise2fast

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Noise2Fast: Fast Self-Supervised Single Image Blind Denoising

https://github.com/pgao-lab/DiffDf

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking

https://github.com/pharmolix/openbiomed

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PharMolixFM: All-Atom Foundation Models for Molecular Modeling and Generation

https://github.com/phermosilla/TotalDenoising

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Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning

https://github.com/phernst/pytorch_radon

공식 코드

Online Deep Equilibrium Learning for Regularization by Denoising

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