超解析度重建相關網站整理（持續更新）

來自專欄超解析度重建14 人贊了文章

本文整理了一些在超解析度重建領域一些學者的主頁和一些資源網站，持續更新！

學者或實驗室主頁（不分先後）

Yulun Zhang?

yulunzhang.com

• Image Super-Resolution Using Very Deep Residual Channel Attention Networks (ECCV-18)
• Residual Dense Network for Image Super-Resolution (CVPR-18)

Multimedia Laboratory?

mmlab.ie.cuhk.edu.hk

• Learning a Deep Convolutional Network for Image Super-Resolution (ECCV-15)
• Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform (CVPR-18)
• Deep Cascaded Bi-Network for Face Hallucination (ECCV-16)
• Depth Map Super Resolution by Deep Multi-Scale Guidance (ECCV-16)

Jianchao Yang?

www.ifp.illinois.edu

• Deep networks for image super-resolution with sparse prior (ICCV-15)
• Fast image super-resolution based on in-place example regression (CVPR-13)
• Image super-resolution via sparse representation (IEEE TIP-10)

Chih-Yuan Yang?

eng.ucmerced.edu

• Single-Image Super-Resolution: A Benchmark (ECCV-14)
• Fast Direct Super-Resolution by Simple Functions (ICCV-13)
• Structured Face Hallucination (CVPR-13)
• Exploiting Self-Similarities for Single Frame Super-Resolution (ACCV-10)

Eduardo Pérez Pellitero?

perezpellitero.github.io

• PSyCo: Manifold Span Reduction for Super-Resolution (CVPR-16)
• Antipodally Invariant Metrics For Fast Regression-based Super-Resolution (TIP-16)
• Naive Bayes Super-Resolution Forest (ICCV-15)

Jun-Jie Huang?

www.commsp.ee.ic.ac.uk

• Learning Hierarchical Decision Trees for Single Image Super-Resolution (IEEE TCSVT-17)
• Fast Image Interpolation via Random Forests," IEEE Transactions on Image Processing (IEEE TIP-15)
• SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random Forests (CVPR-17)

Samuel Schulter?

www.tugraz.at

• Fast and Accurate Image Upscaling with Super-Resolution Forests (CVPR-15)
• Conditioned Regression Models for Non-Blind Single Image Super-Resolution (ICCV-15)

Junjun Jiang?

jiangjunjun.wordpress.com

• Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination (IJCAI-18)
• Facial Image Hallucination through Coupled-Layer Neighbor Embedding (IEEE TCSVT-16)
• Single Image Super-Resolution via Locally Regularized Anchored Neighborhood Regression and Nonlocal Means (IEEE TMM)
• SRLSP: A Face Image Super-Resolution Algorithm Using Smooth Regression with Local Structure Prior (IEEE TMM-2016)

VLLab?

vllab.ucmerced.edu

• Learning No-reference Quality Metric for Single-Image Super-Resolution (CVIU-17)
• Viewing-Distance Aware Super-Resolution for High-Definition Display （IEEE TIP-15）
• Learning to Super-Resolve Blurry Face and Text Images (ICCV-17)
• Deep Laplacian Pyramid Networks for Fast and Accurate Single Image Super-Resolution (CVPR-17)

Lei Zhang?

www4.comp.polyu.edu.hk

• Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR-18)
• Convolutional Sparse Coding for Image Super-resolution (ICCV-15)
• Semi-Coupled Dictionary Learning with Applications to Image Super-Resolution and Photo-Sketch Image Synthesis (CVPR-12)

Jose Caballero?

caballerojose.com

• Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network （CVPR-16）

STRUCT?

www.icst.pku.edu.cn

• Reference Guided Deep Super-Resolution via Manifold Localized External Compensation (IEEE TCSVT-18)
• Video Super-Resolution Based on Spatial-Temporal Recurrent Residual Networks (CVIU-18)
• Joint-Feature Guided Depth Map Super-Resolution with Face Priors (IEEE TCYB18)

Shuhang Gu?

sites.google.com

• Convolutional Sparse Coding for Image Super-resolution (ICCV-15)
• Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (IEEE TIP-18)

https://www.adrianbulat.com/?

www.adrianbulat.com

• Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs （CVPR-18）

XinYuANU (Xin Yu)?

github.comYing Tai?

github.com

Xinbo Gao?

see.xidian.edu.cn

• Fast and Accurate Single Image Super-Resolution via Information Distillation Network (CVPR-2018)
• Single Image Super-resolution Using Gaussian Process Regression with Dictionary-based Sampling and Student-t Likelihood (IEEE TIP 2017)
• Coarse-to-Fine Learning for Single Image Super-resolution (IEEE TNNLS 2017)
• Similarity Constraints Based Structured Output Regression Machine: An Approach to Image Super-Resolution (IEEE TNNLS 2017)
• Single Image Super-resolution Using Active-sampling Gaussian Process Regression (IEEE TIP 2016)
• Learning Multiple Linear Mappings for Real-Time Single Image Super-resolution (IEEE TIP 2015)

論文列表

Github上一個SR方法的分類整理?

github.com

其他資源網頁

CVPR-17 SR比賽?

www.vision.ee.ethz.chECCV-18 Workshop?

www.pirm2018.org喵咪論文 - 簡單自由的論文下載平台?

lunwen.im

CVF (下載CVPRICCV論文)?

openaccess.thecvf.com

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