ICCV 2021超分辨率(super-resolution)方向上接收论文总结

ICCV 2021

  • ICCV2021官网:https://iccv2021.thecvf.com/
  • ICCV2021完整论文列表:https://openaccess.thecvf.com/ICCV2021
  • 开会时间:2021年10月11日-10月17日
  • Demo 搬运:https://space.bilibili.com/288489574

Super-Resolution

- 图像超分辨率

  1. Attention-Based Multi-Reference Learning for Image Super-Resolution
  • 论文:http://arxiv.org/abs/2108.13697
  • 代码:https://marcopesavento.github.io/AMRSR
  • 描述:RefSR
  1. Learning a Single Network for Scale-Arbitrary Super-Resolution
  • 论文:http://arxiv.org/abs/2004.03791
  • 代码:https://github.com/LongguangWang/ArbSR
  • 描述:scale-arbitrary 任意缩放
  1. Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search
  • 论文:http://arxiv.org/abs/2108.08910
  • 代码:
  • 描述:real-time, NAS
  1. Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
  • 论文:http://arxiv.org/abs/2103.14006
  • 代码:
  • 描述:Blind SR
  1. Event Stream Super-Resolution via Spatiotemporal Constraint Learning
  • 论文:openaccess.thecvf.com
  • 代码:
  • 描述:event stream SR
  1. Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution
  • 论文:openaccess.thecvf.com
  • 代码:
  • 描述:attention
  1. Context Reasoning Attention Network for Image Super-Resolution
  • 论文:openaccess.thecvf.com
  • 代码:
  • 描述:attention
  1. EvIntSR-Net: Event Guided Multiple Latent Frames Reconstruction and Super-Resolution
  • 论文:openaccess.thecvf.com
  • 代码:
  • 描述:EventSR
  • Demo:AI视频修复!基于Event引导的视频帧重建和超分辨率 ICCV2021
  1. Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution
  • 论文:http://arxiv.org/abs/2108.05302
  • 代码:https://github.com/JingyunLiang/MANet
  • 描述:blind SR
  1. Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective
  • 论文:openaccess.thecvf.com
  • 代码:
  • 描述:unpaired realSR
  1. Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling
  • 论文:http://arxiv.org/abs/2108.05301
  • 代码:https://github.com/JingyunLiang/HCFlow
  • 描述:SR/Rescale
  1. Learning Frequency-aware Dynamic Network for Efficient Super-Resolution
  • 论文:http://arxiv.org/abs/2103.08357
  • 代码:
  • 描述:Efficient SR
  1. Dual-Camera Super-Resolution With Aligned Attention Modules
  • 论文:openaccess.thecvf.com
  • 代码:
  • 描述:dual camera SR
  1. Manifold Matching via Deep Metric Learning for Generative Modeling
  • 论文:https://arxiv.org/abs/2106.10777
  • 代码:https://github.com/dzld00/pytorch-manifold-matching.git
  • 描述:Manifold Matching

- Burst SR

  1. Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
  • 论文:http://arxiv.org/abs/2108.08286
  • 代码:https://github.com/goutamgmb/deep-rep
  • 描述:Multi-Frame
  1. Lucas-Kanade Reloaded: End-to-End Super-Resolution From Raw Image Bursts
  • 论文:http://arxiv.org/abs/2104.06191
  • 代码:https://github.com/bruno-31/lkburst
  • 描述:Raw Image Bursts SR

- 视频超分辨率

  1. Omniscient Video Super-Resolution
  • 论文:http://arxiv.org/abs/2004.03791
  • 代码:
  • 描述:VSR
  1. COMISR: Compression-Informed Video Super-Resolution
  • 论文:http://arxiv.org/abs/2105.01237
  • 代码:https://github.com/google-research/google-research/tree/master/comisr
  • 描述:VSR
  1. Deep Blind Video Super-Resolution
  • 论文:openaccess.thecvf.com
  • 代码:
  • 描述:Blind VSR
  1. Real-World Video Super-Resolution: A Benchmark Dataset and a Decomposition Based Learning Scheme
  • 论文:openaccess.thecvf.com
  • 代码:https://github.com/IanYeung/RealVSR
  • 描述:RealVSR dataset
  1. Efficient Video Compression via Content-Adaptive Super-Resolution
  • 论文:http://arxiv.org/abs/2104.02322
  • 代码:
  • 描述:Video Compression
  1. Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation
  • 论文:https://arxiv.org/abs/2108.08202
  • 代码:https://github.com/Neural-video-delivery/CaFM-Pytorch-ICCV2021
  • 描述:Video Delivery

- 其他

  1. Fourier Space Losses for Efficient Perceptual Image Super-Resolution
  • 论文:http://arxiv.org/abs/2106.00783
  • 代码:
  • 描述:loss
  1. Benchmarking Ultra-High-Definition Image Super-Resolution
  • 论文:openaccess.thecvf.com
  • 代码:
  • 描述:UHD SR dataset, 4K, 8K,

参考资料

  1. ChaofWang / Awesome-Super-Resolution Public
  2. ICCV2021 图像超分汇总持续更新中...
  3. ICCV 2021 open access
  4. Awesome-ICCV2021-Low-Level-Vision

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