2. 技术
    3. ECCV 2020 & NeurIPS 2020 超分辨率方向上接收文章总结（持续更新）

    ECCV 2020 & NeurIPS 2020 超分辨率方向上接收文章总结（持续更新）

    技术2024-08-22  74

    ECCV 2020

    ECCV是European Conference on Computer Vision的缩写，即欧洲计算机视觉大会。今年第16届ECCV原定于2020年8月23-28日在英国格拉斯哥举行。

    ECCV 2020 已经放榜，有效投稿数为5025，最终收录1361篇论文，录取率是27%。其中104篇 Oral、161篇 Spotlights，其余的均为Poster。现将超分辨率方向上接收的文章总结如下。总结有遗漏的地方还请各位读者帮忙指出。

    图像超分辨率

    Invertible Image Rescaling 论文：https://arxiv.org/abs/2005.05650代码：https://github.com/pkuxmq/Invertible-Image-Rescaling观点：ECCV 2020 Oral | 可逆图像缩放：完美恢复降采样后的高清图片 Component Divide-and-Conquer for Real-World Image Super-Resolution 论文：https://arxiv.org/pdf/2008.01928.pdf代码：https://github.com/xiezw5/Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution SRFlow: Learning the Super-Resolution Space with Normalizing Flow （Spotlight） 论文：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123500698.pdf代码：https://github.com/andreas128/SRFlow Single Image Super-Resolution via a Holistic Attention Network 论文：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123570188.pdf Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks 论文：https://arxiv.org/abs/2003.07119代码：https://github.com/majedelhelou/SFM LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block 论文：http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123670273.pdf VarSR: Variational Super-Resolution Network for Very Low Resolution Images 论文：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123680426.pdf Learning with Privileged Information for Efficient Image Super-Resolution 论文：https://arxiv.org/pdf/2007.07524.pdf代码：https://github.com/cvlab-yonsei/PISR项目网站：https://cvlab.yonsei.ac.kr/projects/PISR/ Journey Towards Tiny Perceptual Super-Resolution 论文：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123710086.pdf Learning Enriched Features for Real Image Restoration and Enhancement 论文：https://arxiv.org/abs/2003.06792代码：https://github.com/swz30/MIRNet Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation （oral） 论文：https://arxiv.org/abs/2003.13659代码：https://github.com/XingangPan/deep-generative-prior Binarized Neural Network for Single Image Super Resolution 论文：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123490086.pdf

    视频超分辨率

    MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution 论文：https://arxiv.org/pdf/2007.11803.pdf Video Super-Resolution with Recurrent Structure-Detail Network 论文：https://arxiv.org/pdf/2008.00455.pdf代码：https://github.com/junpan19/RSDN

    零/小样本

    Zero-Shot Image Super-Resolution with Depth Guided Internal Degradation Learning 论文：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123620256.pdf Fast Adaptation to Super-Resolution Networks via Meta-Learning 论文：http://arxiv.org/abs/2001.02905v1

    人脸超分辨率

    Face Super-Resolution Guided by 3D Facial Priors （Spotlight）

    NAS

    NAS-DIP: Learning Deep Image Prior with Neural Architecture Search 论文：https://arxiv.org/pdf/2008.11713.pdf

    其他场景超分辨率

    Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning 论文：http://www.wisdom.weizmann.ac.il/~vision/DeepTemporalSR/supplementary/AcrossScalesAndDimensions_ECCV2020.pdf Texture Hallucination for Large-Factor Painting Super-ResolutionScene Text Image Super-Resolution in the WildSpatial-Angular Interaction for Light Field Image Super-Resolution 论文：https://arxiv.org/abs/1912.07849代码：https://github.com/YingqianWang/LF-InterNet Towards Content-independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature AggregationPAMS: Quantized Super-Resolution via Parameterized Max ScaleMining self-similarity: Label super-resolution with epitomic representationsCross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution 论文：https://arxiv.org/pdf/2007.05230.pdf代码：https://github.com/danfenghong/ECCV2020_CUCaNet

    NeurIPS 2020

    Unfolding the Alternating Optimization for Blind Super Resolution 论文：https://arxiv.org/pdf/2010.02631.pdf代码：https://github.com/greatlog/DAN LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and BeyondCross-Scale Internal Graph Neural Network for Image Super-Resolution 论文：https://arxiv.org/pdf/2006.16673.pdf代码：https://github.com/sczhou/IGNN Neural Sparse Representation for Image Restoration 论文：https://arxiv.org/pdf/2006.04357.pdf Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising 论文：https://arxiv.org/pdf/2010.11971.pdf

    参考资料

    ECCV 2020 放榜！一文看尽10篇论文的开源项目（检测/GAN/SR等方向）ECCV2020-CodeECCV 官方接收名单
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