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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/KishanKancharagunta/PCSGAN

공식 코드

PCSGAN: Perceptual Cyclic-Synthesized Generative Adversarial Networks for Thermal and NIR to Visible Image Transformation

https://github.com/MHmi1/Image_Denoising_Classification

공식 코드

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

https://github.com/Maclory/SPSR

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Structure-Preserving Super Resolution with Gradient Guidance

https://github.com/Madhu081096/Reference-based-MRI-superresolution-using-texture-transfer

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Reference-based Texture transfer for Single Image Super-resolution of Magnetic Resonance images

https://github.com/Meixu-Chen/MOVI-Codec

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Learning to Compress Videos without Computing Motion

https://github.com/Metalicana/Deblurring-With-Phase-and-Dark-Channels

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Blind Image Deblurring with FFT-ReLU Sparsity Prior

https://github.com/MittaDhanunjaya/Master-Thesis

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Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation

https://github.com/MohammadRSalmanpour/MRI-to-US-Translation_MICCAI

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Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer

https://github.com/NVIDIA/semantic-segmentation

공식 코드

SDCNet: Video Prediction Using Spatially-Displaced Convolution

https://github.com/NVlabs/InstantSplat

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InstantSplat: Sparse-view SfM-free Gaussian Splatting in Seconds

https://github.com/OSU-MR/motion-robust-CMR

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Motion-robust free-running volumetric cardiovascular MRI

https://github.com/PSCLab-ASU/LAPRAN-PyTorch

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LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction

https://github.com/PeymanTahghighi/FundusDeepLearning

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Heightmap Reconstruction of Macula on Color Fundus Images Using Conditional Generative Adversarial Networks

https://github.com/QTIM-Lab/Assessing-Saliency-Maps

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Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging

https://github.com/QihanZhao/enlighten-anything

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Enlighten Anything: When Segment Anything Model Meets Low-Light Image Enhancement

https://github.com/RenYang-home/HLVC

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Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement

https://github.com/RenYang-home/OpenDVC

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OpenDVC: An Open Source Implementation of the DVC Video Compression Method

https://github.com/RenYang-home/RLVC

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Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model

https://github.com/Ruimin-Feng/MoDL-QSM

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MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibility Mapping

https://github.com/RussellSB/tt-vae-gan

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Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks

https://github.com/Saurav-K-Shastri/deepECpr

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Fast and Robust Phase Retrieval via Deep Expectation-Consistent Approximation

https://github.com/Sebbyraft/CNNSpeckleFilter

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A speckle filter for Sentinel-1 SAR Ground Range Detected data based on Residual Convolutional Neural Networks

https://github.com/Sebbyraft/sentinel_1_GRD_dataset

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A speckle filter for Sentinel-1 SAR Ground Range Detected data based on Residual Convolutional Neural Networks

https://github.com/Shanks0465/Localized_SuperResolution_Foreground

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Localized Super Resolution for Foreground Images using U-Net and MR-CNN

https://github.com/SharifAmit/RVGAN

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RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network

https://github.com/ShawkhIbneRashid/medical-images-sr

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Single MR Image Super-Resolution using Generative Adversarial Network

https://github.com/Stillrot/RGINP

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Reference Guided Image Inpainting using Facial Attributes

https://github.com/Telecommunication-Telemedia-Assessment/ai_upscaling

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Appeal prediction for AI up-scaled Images

https://github.com/YangGaoUQ/DCRNet

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Accelerating Quantitative Susceptibility Mapping using Compressed Sensing and Deep Neural Network

https://github.com/YannickStruempler/LearnedJPEG

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Learning to Improve Image Compression without Changing the Standard Decoder

https://github.com/YingqianWang/LF-InterNet

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Spatial-Angular Interaction for Light Field Image Super-Resolution

https://github.com/ZdenekStraka/precnet

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PreCNet: Next-Frame Video Prediction Based on Predictive Coding

https://github.com/Zehong-Ma/ComfyUI-MagCache

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MagCache: Fast Video Generation with Magnitude-Aware Cache

https://github.com/ZhengxueCheng/Learned-Image-Compression-with-GMM-and-Attention

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Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules

https://github.com/ZhouYiiFeng/CDSR

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Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution

https://github.com/ZhuKeven/MOBOSR

공식 코드

Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization Problem

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