https://github.com/peylnog/ERealSR-DGPNet
공식 코드Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution
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/pic4ser/edgesrgan
공식 코드Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation
https://github.com/pingfansong/CDLSR
공식 코드Multimodal Image Super-resolution via Joint Sparse Representations induced by Coupled Dictionaries
https://github.com/pk94/WVS2Benchmark
공식 코드MuS2: A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution
https://github.com/pkuliyi2015/sd-webui-stablesr
공식 코드Exploiting Diffusion Prior for Real-World Image Super-Resolution
https://github.com/pkuxmq/Invertible-Image-Rescaling
공식 코드https://github.com/pnavarre/esr
공식 코드https://github.com/polltooh/traffic_video_analysis
공식 코드Understanding Traffic Density from Large-Scale Web Camera Data
https://github.com/ppplang/e2fif
공식 코드https://github.com/pranavphoenix/WaveMixSR
공식 코드WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution
https://github.com/pris-cv/pidsr
공식 코드PIDSR: Complementary Polarized Image Demosaicing and Super-Resolution
https://github.com/prismformore/multi-task-transformer
공식 코드Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth Estimation
https://github.com/prs-eth/thera
공식 코드Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution
https://github.com/psrben/u2net
공식 코드U2Net: A General Framework with Spatial-Spectral-Integrated Double U-Net for Image Fusion
https://github.com/ptkin/Awesome-Super-Resolution
공식 코드https://github.com/puppy210/DaLPSR
공식 코드DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-Resolution
https://github.com/qianngli/dualsr
공식 코드Dual-Stage Approach Toward Hyperspectral Image Super-Resolution
https://github.com/qibao77/CFSNet
공식 코드CFSNet: Toward a Controllable Feature Space for Image Restoration
https://github.com/qibao77/LFFN-master
공식 코드Lightweight Feature Fusion Network for Single Image Super-Resolution
https://github.com/qizhou000/tfman
공식 코드Single image super-resolution based on trainable feature matching attention network
https://github.com/quan-dao/practical-collab-perception
공식 코드Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection
https://github.com/question110/omnirwkvsr
공식 코드Exploring Linear Attention Alternative for Single Image Super-Resolution
https://github.com/qyp2000/varsr
공식 코드https://github.com/qyp2000/xpsr
공식 코드XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution
https://github.com/rami0205/ngramswin
공식 코드N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution
https://github.com/raoumer/rbsricnn
공식 코드RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network
https://github.com/rayabhisek123/cfat
공식 코드CFAT: Unleashing TriangularWindows for Image Super-resolution
https://github.com/razvanmarinescu/brgm
공식 코드https://github.com/razvanmarinescu/brgm-pytorch
공식 코드https://github.com/ree1s/idm
공식 코드https://github.com/renyulin-f/mambacsr
공식 코드MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs
https://github.com/researchmm/TTSR
공식 코드Learning Texture Transformer Network for Image Super-Resolution
https://github.com/rexzhan/essaformer
공식 코드ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution
https://github.com/rfonod/geo-trax
공식 코드Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery
https://github.com/rishavbb/owslr
공식 코드OW-SLR: Overlapping Windows on Semi-Local Region for Image Super-Resolution
https://github.com/risingentropy/lpfinisr
공식 코드Exploring the Low-Pass Filtering Behavior in Image Super-Resolution
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.