官网链接：http://CVPR2022.thecvf.com 会议时间：2021年6月19日至6月24日

现在，超分辨率方向上收到的论文总结如下纠正遗漏。

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

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: https://arxiv.org/abs/2203.04962
   • 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

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

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

AAAI它是中国计算机学会历史最悠久、内容最广泛的国际顶级学术会议之一(CCF)A级国际学术会议推荐人工智能领域之一。据了解，本次会议收到全球9215篇论文，接受率仅为15%，创历史新低。

官方网址：https://aaai.org/Conferences/AAAI-22/

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: https://arxiv.org/abs/2103.15295
   • Code: https://github.com/Jia-Research-Lab/Simple-SR
   • Keywords: GAN

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

WACV是IEEE Winter Conference on Applications of Computer Vision缩写，根据谷歌学术显示在 Computer Vision & Pattern Recognition 领域， WACV是排在CVPR \ ICCV \ ECCV \ BMVC 之后的较高质量的国际会议。

官方网址：https://openaccess.thecvf.com/WACV2022

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

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: http://git.io/AdFlow
   • Keywords: Photo-Realistic, Flow

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.git
2. MoESR: Blind Super-Resolution Using Kernel-Aware Mixture of Experts
   • Paper: Open Access
   • Code: https://github.com/memad73/MoESR
   • Keywords: Blind
3. Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution
   • Paper: Open Access
   • Keywords: Model Compression

1. CVPR 2022 全面盘点：最新350篇论文分方向汇总 / 代码 / 解读 / 直播 / 项目（更新中）
2. Awesome-Super-Resolution
3. CVPR2022-Paper-Code-Interpretation