CVPR 2024 超分辨率（super-resolution）方向上接收论文总结

CVPR 2024

CVPR 2024 会议将于 2024 年 6 月 17 日至 21 日在美国西雅图举行。

今年共提交了11532份有效论文，2719篇论文被接收，录用率为23.6%。2719篇被接收论文中，具体录用情况：

Poster论文有2305篇，占比84.8%。CVPR组委会将以Poster形式展示论文。
Poster（Highlight）被所在地区主席认为特别有趣或具有创新性的论文，今年共有324篇（11.9%）。
Oral论文共有90篇，占比3.3%。录用者可以15分钟介绍自己的论文。

图像超分

Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution
- Paper: https://arxiv.org/abs/2403.16643
- Code: https://github.com/ProAirVerse/Self-Adaptive-Guidance-Diffusion
- Keywords: Diffusion; Artifact-Free
Text-guided Explorable Image Super-resolution
- Paper: https://arxiv.org/abs/2403.01124
- Code: https://github.com/KVGandikota/Text-guidedSR
- Keywords: Zero-shot; Diffusion; Text-to-image T2I
Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
- Paper: https://arxiv.org/abs/2402.19215
- Code: https://github.com/mandalinadagi/WGSR
- Keywords: Wavelet-Domain Losses
CFAT: Unleashing TriangularWindows for Image Super-resolution
- Paper: https://arxiv.org/abs/2403.16143
- Code: https://github.com/rayabhisek123/CFAT
- Keywords: Transformer
AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution
- Paper: https://arxiv.org/abs/2404.03296
- Code: https://github.com/Cheeun/AdaBM
- Keywords: Quantization 量化
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary
- Paper: https://arxiv.org/abs/2401.08209
- Code: https://github.com/LabShuHangGU/Adaptive-Token-Dictionary
- Keywords: Transformer
SinSR: Diffusion-Based Image Super-Resolution in a Single Step
- Paper: https://arxiv.org/abs/2311.14760
- Code: https://github.com/wyf0912/SinSR
- Keywords: Diffusion
Image Processing GNN: Breaking Rigidity in Super-Resolution
- Paper:
- Code:
- Keywords: GNN
Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
- Paper: https://arxiv.org/abs/2403.02601
- Code: https://haoyuchen.com/LWay
- Keywords:
- Blog: CVPR 2024 | 涨点！LWay：通过自监督学习提高超分辨率的泛化能力
- Team: Zhensong Zhang （张镇嵩）Huawei Noah’s Ark Lab
Boosting Flow-based Generative Super-Resolution Models via Learned Prior
- Paper: https://arxiv.org/abs/2403.10988
- Code: https://github.com/liyuantsao/FlowSR-LP
- Keywords: Flow
Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution
- Paper: https://junchenglee.com/paper/CVPR.pdf
- Code:
- Keywords: Autoencoder
Navigating Beyond Dropout: An Intriguing Solution towards Generalizable Image Super-Resolution
- Paper: https://arxiv.org/abs/2402.18929
- Code: https://github.com/Dreamzz5/Simple-Align
- Keywords: Dropout
- Blog: CVPR 2024 | 超越Dropout：通用图像超分辨率的有趣解决方案

盲超分 / 真实世界 / 参考

A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution
- Paper: https://arxiv.org/abs/2404.15620
- Code: https://github.com/XYLGroup/DKP
- Keywords: Unsupervised, Blind
CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
- Paper:
- Code:
- Keywords: Diffusion; Blind
Diffusion-based Blind Text Image Super-Resolution
- Paper: https://arxiv.org/abs/2312.08886
- Code:
- Keywords: Blind; Diffusion; Real-world; Text
SeD: Semantic-Aware Discriminator for Image Super-Resolution
- Paper: https://arxiv.org/abs/2402.19387
- Code: https://github.com/lbc12345/SeD
- Keywords: Real SR; pretrained vision models (PVMs);
Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer
- Paper: https://arxiv.org/abs/2303.17783
- Code:
- Keywords: Unsupervised Domain Adaptation (UDA); Transformer; Real-world
Universal Robustness via Median Random Smoothing for Real-World Super-Resolution
- Paper:
- Code:
- Keywords: Real-World
SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
- Paper: https://arxiv.org/abs/2311.16518
- Code: https://github.com/cswry/SeeSR
- Keywords: Real-World; Prompt; text-to-image (T2I)
- Blog: CVPR 2024 真实超分 SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
- Team: Lei Zhang
CoSeR: Bridging Image and Language for Cognitive Super-Resolution
- Paper: https://arxiv.org/abs/2311.16512
- Code: https://github.com/VINHYU/CoSeR
- Keywords: Text-to-image;
Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model
- Paper: https://arxiv.org/abs/2403.17460
- Code: https://github.com/dongrunmin/RefDiff
- Keywords: Diffusion, RefSR

视频超分

FMA-Net: Flow Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring (Oral)
- Paper: http://arxiv.org/abs/2401.03707
- Code: https://kaist-viclab.github.io/fmanet-site/
- Keywords: SR & Deblurring
Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
- Paper: https://arxiv.org/abs/2403.17000
- Code:
- Keywords: Diffusion
Enhancing Video Super-Resolution via Implicit Resampling-based Alignment (Highlight)
- Paper: https://arxiv.org/abs/2305.00163
- Code: https://github.com/kai422/IART
- Keywords: Video
Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
- Paper: https://arxiv.org/abs/2312.06640
- Code: https://github.com/sczhou/Upscale-A-Video
- Keywords: Diffusion
Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention
- Paper: https://arxiv.org/abs/2401.06312
- Code: https://github.com/LabShuHangGU/MIA-VSR
- Keywords: Transformer

数据集

Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World
- Paper:
- Code:
- Keywords: Real World; Arbitrary-Scale

特殊场景

Super-Resolution Reconstruction from Bayer-Pattern Spike Streams
- Paper:
- Code: https://github.com/csycdong/CSCSR
- Keywords: Bayer-Pattern Spike Streams
- Team: 张健北京大学 VILLA 实验室;
Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution
- Paper: https://arxiv.org/abs/2404.04785
- Code: https://github.com/GuangYuanKK/DiffMSR
- Keywords: MRI; Diffusion
Bilateral Event Mining and Complementary for Event Stream Super-Resolution
- Paper:
- Code: https://github.com/Lqm26/BMCNet-ESR
- Keywords: Event Stream
APISR: Anime Production Inspired Real-World Anime Super-Resolution
- Paper: https://arxiv.org/abs/2403.01598
- Code: https://github.com/Kiteretsu77/APISR
- Keywords: Anime 动漫超分
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
- Paper: https://arxiv.org/abs/2404.04878
- Code:
- Keywords: Arbitrary-Scale; Medical
Neural Super-Resolution for Real-time Rendering with Radiance Demodulation
- Paper: https://arxiv.org/abs/2308.06699
- Code: https://github.com/Riga2/NSRD
- Keywords: Real-time; Video;
PFStorer: Personalized Face Restoration and Super-Resolution
- Paper: https://arxiv.org/abs/2403.08436
- Code:
- Keywords: Face
Learning Large-Factor EM Image Super-Resolution with Generative Priors
- Paper:
- Code: https://github.com/jtshou/GPEMSR
- Keywords: Electron microscopy (EM)