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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/PRIV-Creation/Awesome-Controllable-T2I-Diffusion-Models

공식 코드

Controllable Generation with Text-to-Image Diffusion Models: A Survey

https://github.com/PaddlePaddle/Research

공식 코드

Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer

https://github.com/PalaceTony/ProGen

공식 코드

ProGen: Revisiting Probabilistic Spatial-Temporal Time Series Forecasting from a Continuous Generative Perspective Using Stochastic Differential Equations

https://github.com/PardoAlejo/MatchDiffusion

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MatchDiffusion: Training-free Generation of Match-cuts

https://github.com/PerceptionComputingLab/LDSB

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Finding Local Diffusion Schrödinger Bridge using Kolmogorov-Arnold Network

https://github.com/PeterGriffinJin/InstructG2I

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InstructG2I: Synthesizing Images from Multimodal Attributed Graphs

https://github.com/PeterTor/TetraDiffusion

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TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation

https://github.com/PrincetonLIPS/reversible-inductive-construction

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Discrete Object Generation with Reversible Inductive Construction

https://github.com/ProfHubert/NAMF

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NAMF: A Non-local Adaptive Mean Filter for Salt-and-Pepper Noise Removal

https://github.com/QQ583304953/Bridge-DDIM

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An attempt to generate new bridge types from latent space of denoising diffusion Implicit model

https://github.com/QWTforGithub/PUDM

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A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling

https://github.com/QiZhangsama/P-MSDiff

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P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image Segmentation

https://github.com/QixuanJin99/generative_validation

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MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations

https://github.com/QuanjianSong/LightMotion

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A Light and Tuning-free Method for Simulating Camera Motion in Video Generation

https://github.com/QuantumMaterialsModelling/AiSurf-Automated-Identification-of-Surface-images

공식 코드

Total Variation-Based Image Decomposition and Denoising for Microscopy Images

https://github.com/Qwlouse/Binding

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Binding via Reconstruction Clustering

https://github.com/RK621/Unsupervised-Restoration-PLD

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Unsupervised Image Restoration Using Partially Linear Denoisers

https://github.com/Renchunzi-Xie/AOMSDA

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Automatic Online Multi-Source Domain Adaptation

https://github.com/RingBDStack/DiffSP

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Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification

https://github.com/RoboDita/Dita

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Diffusion Transformer Policy

https://github.com/RomGai/DP-IQA

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DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the Wild

https://github.com/Rongjiehuang/FastDiff

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FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis

https://github.com/Rongjiehuang/ProDiff

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ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech

https://github.com/RowitZou/RankAE

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Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders

https://github.com/Royalvice/DocDiff

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DocDiff: Document Enhancement via Residual Diffusion Models

https://github.com/RyanHangZhou/DUP-Net

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DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense

https://github.com/SCL-UT/face-manifold

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Face Manifold: Manifold Learning for Synthetic Face Generation

https://github.com/SHI-Labs/Pyramid-Attention-Networks

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Pyramid Attention Networks for Image Restoration

https://github.com/SJTU-Thinklab-Det/DOTA-DOAI

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SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

https://github.com/SPOC-group/ExtensiveWidthQuadraticSamples

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Bayes-optimal learning of an extensive-width neural network from quadratically many samples

https://github.com/SSAW14/BeyondtheSpectrum

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Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

https://github.com/STAC-USC/NNK_Image_graph

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Efficient graph construction for image representation

https://github.com/SWivid/F5-TTS

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F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching

https://github.com/Samyu0304/graph-information-bottleneck-for-Subgraph-Recognition

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Graph Information Bottleneck for Subgraph Recognition

https://github.com/SaptarshiC98/WBMS

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Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm

https://github.com/Saumya-Gupta-26/TopoDiffusionNet

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TopoDiffusionNet: A Topology-aware Diffusion Model

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