CVPR 2022 | AAAI2022 | WACV 2022 超分辨率（super-resolution）論文匯總

作者：yyywxk，https://zhuanlan.zhihu.com/p/500474407

編輯：AI算法與圖像處理 （已授權(quán)）

CVPR2022

官網(wǎng)鏈接：http://CVPR2022.thecvf.com 會議時間：2021年6月19日-6月24日

現(xiàn)將超分辨率方向上接收的論文匯總?cè)缦拢z漏之處還請大家斧正.

圖像超分

1. Local Texture Estimator for Implicit Representation Function

• Paper:?https://ipl.dgist.ac.kr/LTE_cvpr.pdf

• Code:?https://github.com/jaewon-lee-b/lte

2. Reflash Dropout in Image Super-Resolution

• Paper:?https://arxiv.org/abs/2112.12089

3. Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence

• Paper:?https://arxiv.org/abs/2203.00911

盲超分

1. Deep Constrained Least Squares for Blind Image Super-Resolution

• Paper:?https://arxiv.org/abs/2202.07508

• Code:?https://github.com/megvii-research/DCLS-SR

2. Learning the Degradation Distribution for Blind Image Super-Resolution

• Paper:?Learning the Degradation Distribution for Blind Image Super-Resolution

• Code:?https://github.com/greatlog/UnpairedSR

3. Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel

• Paper:https://arxiv.org/abs/2107.00986

• Code:?https://github.com/zsyOAOA/BSRDM

視頻超分

1. Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling

• Paper:?https://arxiv.org/abs/2204.07114

2. RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution

• Paper:https://arxiv.org/abs/2203.14186

• Code:?https://github.com/llmpass/RSTT

• Keywords: Transformer

3. Reference-based Video Super-Resolution Using Multi-Camera Video Triplets

• Paper:?https://arxiv.org/abs/2203.14537

• Code:?https://github.com/codeslake/RefVSR

4. Learning Trajectory-Aware Transformer for Video Super-Resolution

• Paper:?https://arxiv.org/abs/2204.04216

• Code:?https://github.com/researchmm/TTVSR

特殊場景

1. A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution

• Paper:?https://arxiv.org/abs/2203.09388

• Code:?https://github.com/mjq11302010044/TATT

• Keywords: Scene Text

2. Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution

• Paper:?https://arxiv.org/abs/2203.09195

• Code:?https://github.com/csjliang/LDL

• Keywords: Realistic

AAAI2022

AAAI是人工智能領(lǐng)域中歷史最悠久、涵蓋內(nèi)容最廣泛的國際頂級學(xué)術(shù)會議之一，也是中國計算機學(xué)會(CCF)推薦的人工智能領(lǐng)域A級國際學(xué)術(shù)會議之一。據(jù)了解，本屆會議收到來自全球的9215篇投稿論文，而接受率僅為15%，創(chuàng)歷史新低。

官方網(wǎng)址：https://aaai.org/Conferences/AAAI-22/

圖像超分

1. Efficient Non-Local Contrastive Attention for Image Super-Resolution

• Paper:?https://arxiv.org/abs/2201.03794

• Code:?https://github.com/Zj-BinXia/ENLCA

• Keywords: Attention

2. Best-Buddy GANs for Highly Detailed Image Super-Resolution

• Paper:?arxiv.org/abs/2103.1529

• Code:?github.com/Jia-Research

• Keywords: GAN

特殊場景

1. Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution
   

• Paper:?https://arxiv.org/abs/2112.08171

• Code:?https://github.com/FudanVI/FudanOCR/tree/main/text-gestalt

• Keywords: Scene Text

2. Detail-Preserving Transformer for Light Field Image Super-Resolution

• Paper:?https://arxiv.org/abs/2201.00346

• Code:?https://github.com/BITszwang/DPT

• Keywords: Light Field

3. Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-Based Super-Resolution

• Paper:?https://arxiv.org/abs/2201.04358

• Code:?https://github.com/Zj-BinXia/AMSA

• Keywords: Reference-Based

4. Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution

• Paper:?https://arxiv.org/abs/2112.08655

• Code:?https://github.com/IVIPLab/FDIWN

• Keywords: Lightweight

5. SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution

• Paper:?https://arxiv.org/abs/2201.04364

• Keywords: Multi-task

CVPR2022

WACV是IEEE Winter Conference on Applications of Computer Vision縮寫，根據(jù)谷歌學(xué)術(shù)顯示在 Computer Vision & Pattern Recognition 領(lǐng)域， WACV是排在CVPR \ ICCV \ ECCV \ BMVC 之后的較高質(zhì)量的國際會議。

官方網(wǎng)址：https://openaccess.thecvf.com/WACV2022

圖像超分

1. DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks
   

• Paper:?https://arxiv.org/abs/2012.11230

2. edge-SR: Super-Resolution For The Masses

• Paper:?https://arxiv.org/abs/2108.10335

• Code:?https://github.com/pnavarre/eSR

視頻超分

1. MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution
   

• Paper:?https://arxiv.org/abs/2110.15327

2. Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution

• Paper:?https://arxiv.org/abs/2111.03649

• Code:?https://github.com/andreas128/AdFlow?1

• Keywords: Photo-Realistic, Flow

特殊場景

1. Hyperspectral Image Super-Resolution With RGB Image Super-Resolution as an Auxiliary Task
   

• Paper:?https://arxiv.org/abs/2101.07589

• Code:?https://github.com/kli8996/HSISR

2. MoESR: Blind Super-Resolution Using Kernel-Aware Mixture of Experts

• Paper:?https://openaccess.thecvf.com/content/WACV2022/papers/Emad_MoESR_Blind_Super-Resolution_Using_Kernel-Aware_Mixture_of_Experts_WACV_2022_paper.pdf

• Keywords: Blind

3. Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution

• Paper:?https://openaccess.thecvf.com/content/WACV2022/papers/Hou_Multi-Dimensional_Dynamic_Model_Compression_for_Efficient_Image_Super-Resolution_WACV_2022_paper.pdf

• Keywords: Model Compression

參考資料

1. https://zhuanlan.zhihu.com/p/478286484

2. https://github.com/ChaofWang/Awesome-Super-Resolution#2022

3. https://github.com/extreme-assistant/CVPR2022-Paper-Code-Interpretation

4.