https://github.com/Nicholasli1995/EgoNet
공식 코드Exploring intermediate representation for monocular vehicle pose estimation
Papers with Code 아카이브
Image Super-Resolution
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Image Super-Resolution is a machine learning task where the goal is to increase the resolution of an image, often by a factor of 4x or more, while maintaining its content and details as much as possible. The end result is a high-resolution version of the original image. This task can be used for various applications such as improving image quality, enhancing visual detail, and increasing the accuracy of computer vision algorithms.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/PaddlePaddle/PaddleGAN
공식 코드https://github.com/Paper99/SRFBN_CVPR19
공식 코드https://github.com/Rainyfish/FASRGAN-and-Fs-SRGAN
공식 코드https://github.com/RaoUmer/ISRResCNet
공식 코드Deep Iterative Residual Convolutional Network for Single Image Super-Resolution
https://github.com/RaoUmer/SRResCGAN
공식 코드Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution
https://github.com/RaoUmer/SRResCycGAN
공식 코드Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution
https://github.com/SHI-Labs/Cross-Scale-Non-Local-Attention
공식 코드Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
https://github.com/Shanks0465/Localized_SuperResolution_Foreground
공식 코드Localized Super Resolution for Foreground Images using U-Net and MR-CNN
https://github.com/ShawkhIbneRashid/medical-images-sr
공식 코드Single MR Image Super-Resolution using Generative Adversarial Network
https://github.com/Sheldon04/CABM-pytorch
공식 코드CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input
https://github.com/ShuhangGu/DASR
공식 코드Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training
https://github.com/SunYM2020/UA-CMDet
공식 코드Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning
https://github.com/Tillyhere/TADT
공식 코드Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-Resolution
https://github.com/Tombs98/MSSFNet
공식 코드Learning Accurate and Enriched Features for Stereo Image Super-Resolution
https://github.com/USTC-IMCL/HST-for-Compressed-SR
공식 코드HST: Hierarchical Swin Transformer for Compressed Image Super-resolution
https://github.com/Usman1021/dual-attention
공식 코드DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution
https://github.com/W-JG/RAP-SR
공식 코드RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution
https://github.com/Wenri/DTSN
공식 코드Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical Rectification
https://github.com/XLearning-SCU/2025-CVPR-MaIR
공식 코드MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
https://github.com/XY-boy/FreMamba
공식 코드Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution
https://github.com/XYLGroup/DKP
공식 코드A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution
https://github.com/XieQi2015/F-Conv
공식 코드Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions
https://github.com/XuechenZhang123/LCSC
공식 코드LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution
https://github.com/YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy
공식 코드Diffusion Models: A Comprehensive Survey of Methods and Applications
https://github.com/YingqianWang/LF-InterNet
공식 코드Spatial-Angular Interaction for Light Field Image Super-Resolution
https://github.com/YingqianWang/NUDT-Dataset
공식 코드Light Field Image Super-Resolution Using Deformable Convolution
https://github.com/YingqianWang/iPASSR
공식 코드Symmetric Parallax Attention for Stereo Image Super-Resolution
https://github.com/YuanfeiHuang/DeFiAN
공식 코드Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution
https://github.com/YuanfeiHuang/IKM
공식 코드Image-specific Convolutional Kernel Modulation for Single Image Super-resolution
https://github.com/YuvalBahat/Explorable-Super-Resolution/tree/gh-pages/codes
공식 코드https://github.com/YuzheZhang-1999/DiffTSR
공식 코드https://github.com/ZZUTK/SRNTT
공식 코드https://github.com/Zeqiang-Lai/HSI-RefSR
공식 코드Hyperspectral Image Super Resolution with Real Unaligned RGB Guidance
https://github.com/Zheng222/IDN-Caffe
공식 코드Fast and Accurate Single Image Super-Resolution via Information Distillation Network
https://github.com/Zheng222/IMDN
공식 코드Lightweight Image Super-Resolution with Information Multi-distillation Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.