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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/BarqueroGerman/FlowMDM

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Seamless Human Motion Composition with Blended Positional Encodings

https://github.com/Bartzi/one-model-to-reconstruct-them-all

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One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN

https://github.com/BienLuky/EDA-DM

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EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models

https://github.com/Big-Brother-Pikachu/Text2Mask

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From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models

https://github.com/BingyaoHuang/Neural-STE

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Modeling Deep Learning Based Privacy Attacks on Physical Mail

https://github.com/BorealisAI/noise_flow

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Noise Flow: Noise Modeling with Conditional Normalizing Flows

https://github.com/BorjaBalle/analytic-gaussian-mechanism

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Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising

https://github.com/Bradshard/Reinforcement_Learning/tree/main/rl_signal_filtering

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Composite Reward Design in PPO-Driven Adaptive Filtering

https://github.com/CACTuS-AI/GlowIP

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Invertible generative models for inverse problems: mitigating representation error and dataset bias

https://github.com/CCIIPLab/KGTN

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Knowledge Enhanced Multi-intent Transformer Network for Recommendation

https://github.com/CVxTz/fingerprint_denoising

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Deep End-to-end Fingerprint Denoising and Inpainting

https://github.com/CZWin32768/XLM-Align

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Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment

https://github.com/CalebFikes/MCRAGE-Emory_Math_REU_2023

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MCRAGE: Synthetic Healthcare Data for Fairness

https://github.com/CandleLabAI/MotionAura-ICLR-2025

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MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion

https://github.com/CedArctic/rnnoise-ex

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RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral Features

https://github.com/ChenyangSi/FreeU

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FreeU: Free Lunch in Diffusion U-Net

https://github.com/ChuangtaoChen/QD3PM

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Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning

https://github.com/Chuge0335/EDG

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Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think

https://github.com/ChunjingXiao/CAGAD

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Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection

https://github.com/CoderWZW/QGrace

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Efficient Bi-Level Optimization for Recommendation Denoising

https://github.com/CognacS/ifh-model-graphgen

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IFH: a Diffusion Framework for Flexible Design of Graph Generative Models

https://github.com/Costwen/Ouroboros3D

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Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion

https://github.com/DCGM/B-MOD

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Brno Mobile OCR Dataset

https://github.com/DIAL-RPI/Task-Oriented-CT-Denoising_TOD-Net

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Task-Oriented Low-Dose CT Image Denoising

https://github.com/DIVA-DIA/Text-Line-Segmentation-Method-for-Medieval-Manuscripts

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Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts

https://github.com/DLR-RM/AugmentedAutoencoder

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Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

https://github.com/DTU-PAS/steered-marigold

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SteeredMarigold: Steering Diffusion Towards Depth Completion of Largely Incomplete Depth Maps

https://github.com/DZhaoXd/SND

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Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation

https://github.com/Dandy5721/GNN-PDE-COV

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Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals

https://github.com/DatrikIntelligence/D3A-TS-Denoising-Driven-Data-Augmentation-in-Time-Series

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D3A-TS: Denoising-Driven Data Augmentation in Time Series

https://github.com/DawyD/cnn-map-denoiser

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Image Restoration using Plug-and-Play CNN MAP Denoisers

https://github.com/DeMix2023/Demix

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Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph Embedding

https://github.com/Deep-Imaging-Group/RED-WGAN

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Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network

https://github.com/DevSinghSachan/art

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Questions Are All You Need to Train a Dense Passage Retriever

https://github.com/DianDYu/language_embeddings

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Language Embeddings for Typology and Cross-lingual Transfer Learning

https://github.com/DianboWork/FedDS

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Distantly Supervised Relation Extraction in Federated Settings

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