https://github.com/jianzeli-114/dfosd
공식 코드Distillation-Free One-Step Diffusion for Real-World Image Super-Resolution
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/jianzeli-114/fluxsr
공식 코드One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
https://github.com/jingxiaoliu/TelecomTM
공식 코드https://github.com/jingyuanchan/CVPR_AICity_2021_Anomaly_Detection
공식 코드Dual-Modality Vehicle Anomaly Detection via Bilateral Trajectory Tracing
https://github.com/jingyunliang/hcflow
공식 코드Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling
https://github.com/jingyunliang/manet
공식 코드Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution
https://github.com/jingyunliang/swinir
공식 코드https://github.com/jinnh/pde-net
공식 코드Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution
https://github.com/jinsuyoo/SSA-VSR
공식 코드https://github.com/jinxinzhou/dream
공식 코드DREAM: Diffusion Rectification and Estimation-Adaptive Models
https://github.com/jiny2001/dcscn-super-resolution
공식 코드Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network
https://github.com/jm-xiong/rshazediff
공식 코드RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image Dehazing
https://github.com/jnuchenyihong/nafrssr
공식 코드NAFRSSR: a Lightweight Recursive Network for Efficient Stereo Image Super-Resolution
https://github.com/jocelyney/gdnet
공식 코드Guidance Disentanglement Network for Optics-Guided Thermal UAV Image Super-Resolution
https://github.com/joeduman/Thresholded_event-based-crossing-dataset
공식 코드https://github.com/josiahwsmith10/josiahwsmith10
공식 코드Novel Hybrid-Learning Algorithms for Improved Millimeter-Wave Imaging Systems
https://github.com/josiahwsmith10/spectral-super-resolution-swin
공식 코드Frequency Estimation Using Complex-Valued Shifted Window Transformer
https://github.com/josiahwsmith10/thz-and-sub-thz-imaging-toolbox
공식 코드A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-Resolution
https://github.com/jscanvic/scale-equivariant-imaging
공식 코드Scale-Equivariant Imaging: Self-Supervised Learning for Image Super-Resolution and Deblurring
https://github.com/jspan/PHYSICS_SR
공식 코드https://github.com/junfu1995/sgh
공식 코드Scale Guided Hypernetwork for Blind Super-Resolution Image Quality Assessment
https://github.com/junhyukk/MAMNet-Tensorflow
공식 코드MAMNet: Multi-path Adaptive Modulation Network for Image Super-Resolution
https://github.com/junjun-jiang/Face-Hallucination-Benchmark
공식 코드https://github.com/junjun-jiang/Hyperspectral-Image-Super-Resolution-Benchmark
공식 코드Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery
https://github.com/junjun-jiang/SSPSR
공식 코드Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery
https://github.com/junsang7777/rzsr
공식 코드RZSR: Reference-based Zero-Shot Super-Resolution with Depth Guided Self-Exemplars
https://github.com/jwgdmkj/lmlt
공식 코드LMLT: Low-to-high Multi-Level Vision Transformer for Image Super-Resolution
https://github.com/kai-liu001/2dquant
공식 코드2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
https://github.com/kai-liu001/condiquant
공식 코드CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution
https://github.com/kangliao929/cylin-painting
공식 코드Cylin-Painting: Seamless {360\textdegree} Panoramic Image Outpainting and Beyond
https://github.com/karoslyx/mffssr
공식 코드Multi-Level Feature Fusion Network for Lightweight Stereo Image Super-Resolution
https://github.com/karthickpgunasekaran/superresolutionwithrdn
공식 코드Ultra Sharp : Study of Single Image Super Resolution using Residual Dense Network
https://github.com/kimchange/pilf
공식 코드Physics-Informed Ensemble Representation for Light-Field Image Super-Resolution
https://github.com/kiteretsu77/vcisr-official
공식 코드VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Data
https://github.com/kitoweeknd/RFUAV
공식 코드RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification
https://github.com/kli8996/HSISR
공식 코드Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.