ICCV 2023
官网链接：https://iccv2023.thecvf.com/
会议时间：2023 年 10 月 2 日至 6 日，法国巴黎（Paris）。
ICCV 2023统计数据：收录 2160 篇。
现将超分辨率方向上接收的论文汇总如下，遗漏之处还请大家斧正。
图像超分
- SRFormer: Permuted Self-Attention for Single Image Super-Resolution
- Paper: http://arxiv.org/abs/2303.09735
- Keywords: Transformer
- Blog: ICCV 2023 | 南开程明明团队提出新颖注意力机制用于图像超分辨率任务
- Dual Aggregation Transformer for Image Super-Resolution
- Paper: https://arxiv.org/abs/2308.03364
- Code: https://github.com/zhengchen1999/DAT
- Keywords: Transformer
- Video: ICCV 2023【已开源】| 上交大与苏黎世联邦理工学院领衔发布，即插即用双向聚合Transformer
- Blog: ICCV 2023 | 利用双重聚合的Transformer进行图像超分辨率
- Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution
- Paper: http://arxiv.org/abs/2308.05022
- Code: https://github.com/AVC2-UESTC/CRAFT-SR.git
- Keywords: Transformer
- MSRA-SR: Image Super-resolution Transformer with Multi-scale Shared Representation Acquisition
- Paper: ICCV 2023 Open Access Repository
- Code:
- Keywords: Transformer
- Content-Aware Local GAN for Photo-Realistic Super-Resolution
- Paper: ICCV 2023 Open Access Repository
- Code: https://github.com/jkpark0825/CAL
- Keywords: GAN
轻量化超分
- Lightweight Image Super-Resolution with Superpixel Token Interaction
- Paper: ICCV 2023 Open Access Repository
- Code: https://github.com/ArcticHare105/SPIN
- Keywords: Lightweight
- Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
- Paper: ICCV 2023 Open Access Repository
- Code: https://github.com/Jiamian-Wang/Iterative-Soft-Shrinkage-SR
- Keywords: Efficient
- Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution
- Paper: https://arxiv.org/abs/2307.08544
- Code: https://github.com/liuguandu/RC-LUT
- Keywords: Efficient
- Boosting Single Image Super-Resolution via Partial Channel Shifting
- Paper: ICCV 2023 Open Access Repository
- Code: https://github.com/OwXiaoM/PCS
- Keywords: Efficient
- Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution
- Paper: https://arxiv.org/abs/2302.13800
- Code: https://github.com/sunny2109/SAFMN
- Keywords: Efficient
- Blog: 五分钟论文速读 | Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution
- DLGSANet: Lightweight Dynamic Local and Global Self-Attention Networks for Image Super-Resolution
- Paper: https://arxiv.org/abs/2301.02031
- Code: https://neonleexiang.github.io/DLGSANet/
- Keywords: Lightweight
- Blog: 五分钟论文速读 | DLGSANet: Lightweight Dynamic Local and Global Self-Attention Networks for Image SR
盲超分
- MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces
- Paper: https://arxiv.org/abs/2309.08113
- Code: https://github.com/yinzhicun/MetaF2N
- Keywords: Faces
- Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution
- Paper: ICCV 2023 Open Access Repository
- Code: https://github.com/edbca/DARSR
- Keywords: Blind
Burst SR
- Self-Supervised Burst Super-Resolution
- Paper: ICCV 2023 Open Access Repository
- Code:
- Keywords: Self-Supervised
-
Towards Real-World Burst Image Super-Resolution: Benchmark and Method
- Paper: ICCV 2023 Open Access Repository
- Code: https://github.com/yjsunnn/FBANet
- Keywords: Dataset
Reference-Based
-
LMR: A Large-Scale Multi-Reference Dataset for Reference-Based Super-Resolution
- Paper: https://arxiv.org/abs/2303.04970添加链接描述
- Code:
- Keywords: Reference-Based
特殊场景
-
A Benchmark for Chinese-English Scene Text Image Super-Resolution
- Paper: http://arxiv.org/abs/2308.03262
- Code: https://github.com/mjq11302010044/Real-CE
- Keywords: Scene text image super-resolution (STISR), dataset
- Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution
- Paper: https://arxiv.org/abs/2302.08058
- Code: https://github.com/ZhengyuLiang24/EPIT
- Keywords: Light Field
- Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution
- Paper: https://arxiv.org/abs/2303.08942
- Code: https://github.com/Zhaozixiang1228/GDSR-SSDNet
- Keywords: Depth Map
遥感
- HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models
- Paper: ICCV 2023 Open Access Repository
- Keywords: Hyperspectral, diffusion
- ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution
- Paper: https://arxiv.org/abs/2307.14010
- Code: https://github.com/Rexzhan/ESSAformer
- Keywords: Efficient, Transformer
医学
- Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling
- Paper: ICCV 2023 Open Access Repository
- Keywords: MRI, arbitrary-scale
- Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction
- Paper: ICCV 2023 Open Access Repository
- Code: https://github.com/lpcccc-cv/MC-VarNet
- Keywords: MRI
- CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution
- Paper: https://arxiv.org/abs/2303.16242
- Code: https://github.com/NarcissusEx/CuNeRF
- Keywords: Arbitrary-Scale
视频超分
- MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution
- Paper: https://arxiv.org/abs/2307.07988
- Code: https://github.com/sichun233746/MoTIF
- Keywords: Continuous Space-Time
- Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution
- Paper: https://arxiv.org/abs/2303.09826
- Code: https://github.com/researchmm/VQD-SR
- Keywords: Real-world
- Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution
- Paper: ICCV 2023 Open Access Repository
- Code:
- Keywords: Video
总结
- SISR 领域中，接收的文章大部分都基于Transformer结构，展现出蹭热点的重要性。
- 接收文章中提出了多个新数据集，集中在某些特殊场景（如burst，Scene text，Reference-Based等），有利于SR领域的进一步发展，也挖下了坑。
- 轻量化超分文章比例大，展现出更偏实用化的研究趋势，在医学和高光谱等领域也涌现了相关研究。
