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/krulllab/gap

공식 코드

Image Denoising and the Generative Accumulation of Photons

https://github.com/kshitij79/CS-7476-Improvements-in-Diffusion-Model

공식 코드

Enhancing Conditional Image Generation with Explainable Latent Space Manipulation

https://github.com/kuai-lab/soundini-official

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Soundini: Sound-Guided Diffusion for Natural Video Editing

https://github.com/kugamaxx/cuke-emlb

공식 코드

E-MLB: Multilevel Benchmark for Event-Based Camera Denoising

https://github.com/kugwzk/at_diff

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Improved Diffusion-based Generative Model with Better Adversarial Robustness

https://github.com/kuis-ai-tekalp-research-group/video-deinterlacing

공식 코드

A New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention Blocks

https://github.com/kuleshov-group/bd3lms

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Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

https://github.com/kurtlabuw/re-diffinet

공식 코드

Re-DiffiNet: Modeling discrepancies in tumor segmentation using diffusion models

https://github.com/kvablack/ddpo-pytorch

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Training Diffusion Models with Reinforcement Learning

https://github.com/kvfrans/shortcut-models

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One Step Diffusion via Shortcut Models

https://github.com/kwang2049/pytorch-bertflow

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TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

https://github.com/kwang2049/useb

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TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

https://github.com/kxh001/itdiffusion

공식 코드

Information-Theoretic Diffusion

https://github.com/kylelo/roofdiffusion

공식 코드

RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion

https://github.com/l-yezhu/boundarydiffusion

공식 코드

Boundary Guided Learning-Free Semantic Control with Diffusion Models

https://github.com/l-yezhu/cdcd

공식 코드

Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation

https://github.com/lab-emi/cleanumamba

공식 코드

CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning

https://github.com/labforcomputationalvision/local-probability-models-of-images

공식 코드

Learning multi-scale local conditional probability models of images

https://github.com/labforcomputationalvision/memorization_generalization_in_diffusion_models

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Generalization in diffusion models arises from geometry-adaptive harmonic representations

https://github.com/laizhr/irm-tv

공식 코드

Invariant Risk Minimization Is A Total Variation Model

https://github.com/lakonik/gmflow

공식 코드

Gaussian Mixture Flow Matching Models

https://github.com/lalunex/msdccl

공식 코드

Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential Recommendation

https://github.com/lamomal/multisv

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MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification

https://github.com/lancezpf/seeds

공식 코드

SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection

https://github.com/lanzhang128/retrieval_augmented_autoformalization

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Consistent Autoformalization for Constructing Mathematical Libraries

https://github.com/laowangbobo/residual_mlp_cnn_mixer

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Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence

https://github.com/larsdoorenbos/ccdm-stochastic-segmentation

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Stochastic Segmentation with Conditional Categorical Diffusion Models

https://github.com/layer6ai-labs/denoising_dgms

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Denoising Deep Generative Models

https://github.com/lcav/lenslesspicam

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LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry Pi

https://github.com/lcbkmm/tc-kanrecon

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TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling

https://github.com/leaplabthu/attention-mediators

공식 코드

Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators

https://github.com/led-666/ttrd3

공식 코드

TTRD3: Texture Transfer Residual Denoising Dual Diffusion Model for Remote Sensing Image Super-Resolution

https://github.com/lefteyex/u-decn

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U-DECN: End-to-End Underwater Object Detection ConvNet with Improved DeNoising Training

https://github.com/leo960912/SAAE

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Spectrum-Guided Adversarial Disparity Learning

https://github.com/leonardoberti00/deepmarket

공식 코드

TRADES: Generating Realistic Market Simulations with Diffusion Models

https://github.com/leonmakise/prores

공식 코드

ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration

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