Application of convolutional neural networks in image super-resolution | Paper Citation Record

Observation fa60275e-4717-44e6-be4b-b81140188c50 · outbound

This paper cites 图像超分辨重建算法综述[J].

Application of convolutional neural networks in image super-resolution 图像超分辨重建算法综述[J]

Reference 1

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Observation b0ba01b9-9020-493b-94b6-ce28c93ebecc · outbound

This paper cites A super-resolution reconstruction algorithm for surveillance images[J].

Application of convolutional neural networks in image super-resolution A super-resolution reconstruction algorithm for surveillance images[J]

Reference 2

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Observation 6c655381-6d25-459f-a388-a1e91bdc0f75 · outbound

This paper cites BasicVSR: improving video super -resolution with enhanced propagation and alignment[C]//2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Application of convolutional neural networks in image super-resolution BasicVSR: improving video super -resolution with enhanced propagation and alignment[C]//2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 3

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Observation fb0b858b-f0c1-4054-9f7c-37cceac2f3f9 · outbound

This paper cites Nearest Neighbor Value Interpolation.

Application of convolutional neural networks in image super-resolution Nearest Neighbor Value Interpolation

Reference 4

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Observation 619f1b2a-2cc3-4dd7-9b41-c7711c896f22 · outbound

This paper cites Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images[J].

Application of convolutional neural networks in image super-resolution Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images[J]

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:09.923989Z

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Observation 4441f7cf-6430-4953-a354-e2b7551753d3 · outbound

This paper cites Evaluation of different image interpolation algorithms[J].

Application of convolutional neural networks in image super-resolution Evaluation of different image interpolation algorithms[J]

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:09.988774Z

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Observation 60474675-0622-4fc4-891a-7102a62fa72b · outbound

This paper cites Image super-resolution via sparse representation[J].

Application of convolutional neural networks in image super-resolution Image super-resolution via sparse representation[J]

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:10.079543Z

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Observation 397df78c-0c87-484e-b090-bbe9f60d829a · outbound

This paper cites Super-resolved surface reconstruction from multiple images[M]//Maximum Entropy and Bayesian Methods.

Application of convolutional neural networks in image super-resolution Super-resolved surface reconstruction from multiple images[M]//Maximum Entropy and Bayesian Methods

Reference 8

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Observation d679ba1e-bd7f-4fbd-a4b0-58427af66e0f · outbound

This paper cites Super resolution from image sequences[C]// Proceedings 10th International Conference on Pattern Recognition.

Application of convolutional neural networks in image super-resolution Super resolution from image sequences[C]// Proceedings 10th International Conference on Pattern Recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:10.241447Z

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Observation 99a80875-8680-4850-aea5-c0545c32a633 · outbound

This paper cites Very high resolution imaging scheme with multiple different -aperture cameras[J].

Application of convolutional neural networks in image super-resolution Very high resolution imaging scheme with multiple different -aperture cameras[J]

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:10.345127Z

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Observation 38fe491e-cf09-40d4-8f67-52b05294c428 · outbound

This paper cites Generalization of iterative restoration techniques for super -resolution[C]//2011 24th SIBGRAPI Conference on Graphics, Patterns and Images.

Application of convolutional neural networks in image super-resolution Generalization of iterative restoration techniques for super -resolution[C]//2011 24th SIBGRAPI Conference on Graphics, Patterns and Images

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:10.399668Z

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Observation 3640cdbe-c1ba-48f6-9bdd-e196f98e9e6a · outbound

This paper cites Image super -resolution with sparse neighbor embedding[J].

Application of convolutional neural networks in image super-resolution Image super -resolution with sparse neighbor embedding[J]

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:10.507019Z

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Observation ac92c2ee-9296-45de-a346-e8b49b50ebe8 · outbound

This paper cites Image super-resolution survey[J].

Application of convolutional neural networks in image super-resolution Image super-resolution survey[J]

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:10.585285Z

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Observation 121f1bc1-c2d1-410f-a42c-8989be023b85 · outbound

This paper cites Face image super-resolution through POCS and residue compensation[C]//2008 5th International Conference on Visual Information Engineering (VIE 2008).

Application of convolutional neural networks in image super-resolution Face image super-resolution through POCS and residue compensation[C]//2008 5th International Conference on Visual Information Engineering (VIE 2008)

Reference 14

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Observation f216ad21-0471-4dce-b956-c5bf57edb24b · outbound

This paper cites Image super-resolution using deep convolutional networks[J].

Application of convolutional neural networks in image super-resolution Image super-resolution using deep convolutional networks[J]

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:10.762511Z

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Observation 5320bbae-6757-45e3-8d08-850690fbc36e · outbound

This paper cites Accurate image super-resolution using very deep convolutional networks[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition.

Application of convolutional neural networks in image super-resolution Accurate image super-resolution using very deep convolutional networks[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition

Reference 17

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Observation dd384ca9-c358-4f9b-9e1f-18d3fb4e0b3d · outbound

This paper cites Accelerating the super-resolution convolutional neural network[M]//Computer Vision–ECCV 2016.

Application of convolutional neural networks in image super-resolution Accelerating the super-resolution convolutional neural network[M]//Computer Vision–ECCV 2016

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:10.889810Z

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Observation 1ac1217d-0a22-44e6-b52d-6d2828b23b9f · outbound

This paper cites A deep convolutional neural network with selection units for super -resolution[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Application of convolutional neural networks in image super-resolution A deep convolutional neural network with selection units for super -resolution[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:10.988029Z

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Observation 675b1e49-a0c7-4355-860b-c90a65af40a0 · outbound

This paper cites Deeply -recursive convolutional network for image super -resolution[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition.

Application of convolutional neural networks in image super-resolution Deeply -recursive convolutional network for image super -resolution[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:11.062829Z

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Observation 3d652f6b-bf58-4f6a-a42a-629977fc0901 · outbound

This paper cites Image super-resolution using dense skip connections[C]//2017 IEEE International Conference on Compute r Vision.

Application of convolutional neural networks in image super-resolution Image super-resolution using dense skip connections[C]//2017 IEEE International Conference on Compute r Vision

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:11.173059Z

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Observation b0a97576-c753-40d5-b175-95e2e30fbeb1 · outbound

This paper cites Residual dense network for image super -resolution[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Application of convolutional neural networks in image super-resolution Residual dense network for image super -resolution[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 22

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Observation 477dacfb-9447-4930-9def-6250108e4509 · outbound

This paper cites Image super-resolution using very deep residual channel attention networks[C]// Computer Vision –ECCV 2018.

Application of convolutional neural networks in image super-resolution Image super-resolution using very deep residual channel attention networks[C]// Computer Vision –ECCV 2018

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:11.384221Z

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Observation f2b85d10-3d19-43fe-a272-141bb94374e7 · outbound

This paper cites Second-order attention network for single image super-resolution[C]//2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Application of convolutional neural networks in image super-resolution Second-order attention network for single image super-resolution[C]//2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 24

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Observation 8520019f-d710-4df4-a9a0-2188a7100863 · outbound

This paper cites Photo -realistic single image super -resolution using a generative adversarial network[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition.

Application of convolutional neural networks in image super-resolution Photo -realistic single image super -resolution using a generative adversarial network[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition

Reference 25

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Observation 5bcb3c9b-b786-4b2a-be6d-caefe3a4cd91 · outbound

This paper cites ESRGAN: 第 1 期田春伟，等：文章题名 ·25· enhanced super-resolution generative adversarial networks[C]// Computer Vision – ECCV 2018 Workshops.

Application of convolutional neural networks in image super-resolution ESRGAN: 第 1 期田春伟，等：文章题名 ·25· enhanced super-resolution generative adversarial networks[C]// Computer Vision – ECCV 2018 Workshops

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:11.610327Z

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Observation c4d564ad-08bf-471d-abaa-b203c3ce8e1e · outbound

This paper cites 基于广泛激活深度残差网络的图像超分辨率重建[J].

Application of convolutional neural networks in image super-resolution 基于广泛激活深度残差网络的图像超分辨率重建[J]

Reference 27

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Observation 6b34fda2-d0b2-4ef1-a4c8-bc8af4794b27 · outbound

This paper cites 基于多路特征渐进融合和注意力机制的轻量级图像超分辨率重建 [J].

Application of convolutional neural networks in image super-resolution 基于多路特征渐进融合和注意力机制的轻量级图像超分辨率重建 [J]

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:11.845419Z

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Observation 0a3569de-6db2-4aec-93d8-cf0eaffaf391 · outbound

This paper cites Deep learning for single image super -resolution: a brief review[J].

Application of convolutional neural networks in image super-resolution Deep learning for single image super -resolution: a brief review[J]

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:11.892291Z

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Observation f98f34ec-7310-411c-bb51-2fdc19c53d08 · outbound

This paper cites Gradient profile prior and its applications in image super -resolution and enhancement[J].

Application of convolutional neural networks in image super-resolution Gradient profile prior and its applications in image super -resolution and enhancement[J]

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:11.974953Z

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Observation 35401828-5a61-46ae-bc8b-827629d2f807 · outbound

This paper cites Deep learning for image super -resolution: a survey[J].

Application of convolutional neural networks in image super-resolution Deep learning for image super -resolution: a survey[J]

Reference 31

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Observation 9665548b-4a03-4204-a21c-cb6fc48a3207 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Application of convolutional neural networks in image super-resolution Very Deep Convolutional Networks for Large-Scale Image Recognition

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Observation d0c2b993-cd82-4f94-a207-3a5e944a30dd · outbound

This paper cites A simple and effective method for filling gaps in Landsat ETM+ SLC-off images[J].

Application of convolutional neural networks in image super-resolution A simple and effective method for filling gaps in Landsat ETM+ SLC-off images[J]

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:12.174621Z

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Observation c98f2f79-0936-4efd-af5b-b35403ee8ce6 · outbound

This paper cites Super -resolution image reconstruction: a technical overview[J].

Application of convolutional neural networks in image super-resolution Super -resolution image reconstruction: a technical overview[J]

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Observation d5dfa2e7-65ee-4b67-9b06-4ec6ee38b9fc · outbound

This paper cites Cu bic convolution interpolation for digital image processing[J].

Application of convolutional neural networks in image super-resolution Cu bic convolution interpolation for digital image processing[J]

Reference 35

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Observation c71a0324-009a-48fc-8cf4-5a18406dee39 · outbound

This paper cites Advanced Computing in Electron Microscopy[M].

Application of convolutional neural networks in image super-resolution Advanced Computing in Electron Microscopy[M]

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:12.414992Z

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Observation e9c24cd7-c220-4717-9d5b-185844a7451a · outbound

This paper cites 基于递归残差网络的图像超分辨率重建.

Application of convolutional neural networks in image super-resolution 基于递归残差网络的图像超分辨率重建

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Resolution: verified exact; doi, observed 2026-08-07T11:23:25.108899Z

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Observation 89eb891f-7e22-493b-a1bf-03f8271034bc · outbound

This paper cites Image super resolution based on fusing multiple convolution neural networks[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Application of convolutional neural networks in image super-resolution Image super resolution based on fusing multiple convolution neural networks[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops

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Observation 4618025e-4d74-4668-93de-792cfe9e6fa4 · outbound

This paper cites MemNet: a persistent memory network for image restoration[C]//2017 IEEE International Conference on Computer Vision.

Application of convolutional neural networks in image super-resolution MemNet: a persistent memory network for image restoration[C]//2017 IEEE International Conference on Computer Vision

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Observation 89fd1e28-4352-4fd5-bbe0-705b7a2119b1 · outbound

This paper cites Single Image Super-Resolution via Cascaded Multi-Scale Cross Network.

Application of convolutional neural networks in image super-resolution Single Image Super-Resolution via Cascaded Multi-Scale Cross Network

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Resolution: verified exact; local_arxiv, observed 2026-08-07T11:23:26.772639Z

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Observation e662feb0-4448-4a3b-8391-3434a9130f98 · outbound

This paper cites Fast and accurate image super resolution by deep CNN with skip connection and network in network[M]//Neu ral Information Processing.

Application of convolutional neural networks in image super-resolution Fast and accurate image super resolution by deep CNN with skip connection and network in network[M]//Neu ral Information Processing

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Observation 3e992158-10a4-4778-a410-b33af5fcb552 · outbound

This paper cites 基于自注意力深度网络的图像超分辨率重建方法 [J].

Application of convolutional neural networks in image super-resolution 基于自注意力深度网络的图像超分辨率重建方法 [J]

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Observation 0fec7e4d-c72c-4518-b152-2492fd4b537a · outbound

This paper cites Image super-resolution via deep recursive residual network[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition.

Application of convolutional neural networks in image super-resolution Image super-resolution via deep recursive residual network[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition

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Observation 069c522e-2780-4c29-bee3-74e7288aee50 · outbound

This paper cites Enhanced deep residual networks for single image super -resolution[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Application of convolutional neural networks in image super-resolution Enhanced deep residual networks for single image super -resolution[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops

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Observation 2b920981-28a7-42cb-8c0e-98acd5fd1601 · outbound

This paper cites Real-ESRGAN: training real -world blind super-resolution with pure synthetic data[C]//2021 IEEE/CVF International Conference on Computer Vision Workshops.

Application of convolutional neural networks in image super-resolution Real-ESRGAN: training real -world blind super-resolution with pure synthetic data[C]//2021 IEEE/CVF International Conference on Computer Vision Workshops

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Observation 258ae8b2-a93f-4506-9bae-7bc262618110 · outbound

This paper cites Coarse-to-fine CNN for image super -resolution[J].

Application of convolutional neural networks in image super-resolution Coarse-to-fine CNN for image super -resolution[J]

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:13.240218Z

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Observation daa8d8ec-2ee3-4e81-8fb3-c6ef606e90c7 · outbound

This paper cites Benefiting from bicubically down -sampled images for learning real -world image super -resolution[C]//2021 IEEE Winter Conference on Applications of Computer Vision.

Application of convolutional neural networks in image super-resolution Benefiting from bicubically down -sampled images for learning real -world image super -resolution[C]//2021 IEEE Winter Conference on Applications of Computer Vision

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Observation e43d187c-d79d-4dab-a629-b7232127496b · outbound

This paper cites D -SRGAN: DEM super-resolutionwith generative adversarial networks[J].

Application of convolutional neural networks in image super-resolution D -SRGAN: DEM super-resolutionwith generative adversarial networks[J]

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Observation 192bf0cd-07de-4ccc-9f81-632b34cac619 · outbound

This paper cites Med -SRNet: GAN-based medical image super-resolution via high-resolution representation learning[J].

Application of convolutional neural networks in image super-resolution Med -SRNet: GAN-based medical image super-resolution via high-resolution representation learning[J]

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Observation e66352f1-357c-419a-8745-52e07cd96d3b · outbound

This paper cites A fully progressive approach to single -image super-resolution[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops.

Application of convolutional neural networks in image super-resolution A fully progressive approach to single -image super-resolution[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:13.726727Z

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Observation 4aaf9417-2ec6-4022-a12c-0347cd76f253 · outbound

This paper cites Color -guided depth map super resolution using convolutional neural network[J].

Application of convolutional neural networks in image super-resolution Color -guided depth map super resolution using convolutional neural network[J]

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:13.816942Z

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Observation 5cefed66-845a-44fb-9778-a3941b3f7b62 · outbound

This paper cites SSF -CNN: spatial and spectral fusion with CNN for hyperspectral image super-resolution[C]//2018 25th IEEE International Conference on Image Processing.

Application of convolutional neural networks in image super-resolution SSF -CNN: spatial and spectral fusion with CNN for hyperspectral image super-resolution[C]//2018 25th IEEE International Conference on Image Processing

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:13.891654Z

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Observation ef393f79-91cd-4504-b392-4c5ff908ad82 · outbound

This paper cites Deep networks for image super-resolution with sparse prior[C]//2015 IEEE International Conference on Computer Vision.

Application of convolutional neural networks in image super-resolution Deep networks for image super-resolution with sparse prior[C]//2015 IEEE International Conference on Computer Vision

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:13.955490Z

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Observation e6019391-751f-48bb-8149-4c2441c684b0 · outbound

This paper cites Fast and accurate single image super -resolution via information distillation network[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Application of convolutional neural networks in image super-resolution Fast and accurate single image super -resolution via information distillation network[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:14.026584Z

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Observation b3034159-bce8-4e8e-b157-5243e165a9c6 · outbound

This paper cites Unsupervised image super -resolution using cycle -in-cycle generative adversarial networks[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops.

Application of convolutional neural networks in image super-resolution Unsupervised image super -resolution using cycle -in-cycle generative adversarial networks[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:14.068500Z

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Observation a4dd7668-2fd3-48c1-9280-15825156bcbc · outbound

This paper cites Unpaired image super -resolution using pseudo-supervision[C]//2020 IEEE/CVF Conferenc e on Computer Vision and Pattern Recognition.

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Observation 2e98a376-4a4e-40bc-a49a-6f997e22a9cf · outbound

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Observation 5b3af772-3e75-4771-9299-5614e6ad2991 · outbound

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Source-reported events for the cited work

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Observation 35de74ac-3ad3-4b98-bd0e-f27480c1142d · outbound

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Observation a6e653f7-dc4f-4ac0-89d7-66b0e7db1cc3 · outbound

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Observation 633f0af2-ab32-4a19-9405-848adda156cf · outbound

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Observation aaa0214d-361f-4a8a-a0c0-47ba4df4c9ee · outbound

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Observation f6bf2469-3723-43d2-b7e4-565303058c77 · outbound

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Observation 394c7557-2942-472d-b4a6-38a91d6c4b8e · outbound

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Observation a0a00882-d709-46da-8dc2-51b3c5f79817 · outbound

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Observation 69dce1d7-9e5d-44c3-81ee-8dc3112c7258 · outbound

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Observation 3f261ad2-1953-4c41-a052-af7164f2eb6a · outbound

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Observation 930eaf70-0bb2-44e4-a9b8-6315fb3c23d5 · outbound

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Observation 073ce54d-2ae5-4b06-9353-4cddfaf393f4 · outbound

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Observation 89b87ea7-f359-4c3d-9bd0-1c6220106b8f · outbound

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Observation 9a40528d-c4da-4487-99a6-dfcaf89a9aa5 · outbound

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Observation 8a718b6e-8462-4363-92a5-52acfd83d470 · outbound

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Observation 519a88d1-e847-40ae-8ce9-1efb286c1d16 · outbound

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Observation a73ca11d-9901-4bf1-b03b-1d964a98536f · outbound

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Observation e5e0c167-7f2f-458e-9684-f5356b9d6aac · outbound

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Observation c3b80ae3-d80f-443d-997f-c97351a74dac · outbound

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Observation f54388d3-8760-4690-8b43-2436bdc9b253 · outbound

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Observation 17848317-63eb-4d23-8203-e3e7c96b1658 · outbound

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Observation 3455ad1e-0427-443b-9402-0adb6cb38b8c · outbound

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Observation 0ea7987c-860d-404f-bc65-90168a5eb564 · outbound

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Observation 84dc63a7-059d-4ac9-bc3f-b75d89ad477a · outbound

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Observation a4792ac1-3111-41cc-9bd9-7017b5dcfdce · outbound

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Observation f6a248e5-72ae-4476-8530-1e6dfe906c3d · outbound

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Observation e772ee18-4eb1-4826-af13-6368a4d93213 · outbound

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Observation e5f19337-e062-43c6-820f-abb8056fce9e · outbound

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Observation 102bcb36-bf8d-4ff4-b985-8b739d2dc20b · outbound

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Observation 9ed4bb62-597e-429d-a27d-d40083efb5fa · outbound

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Observation d5a3be7b-ddbe-47e6-8a1a-7a73fbb9de22 · outbound

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Observation d441f98e-df90-45ad-b24d-a9d83281d482 · outbound

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Observation 8daed080-80d0-4923-a976-f615ef05aab4 · outbound

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Observation 27f31bd4-8e60-4267-b2c8-68908afa6df5 · outbound

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Observation ca7c5c67-23cb-4427-8aad-806a1bb26a4e · outbound

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ded6748-3278-46ed-8b19-a93948a73c5c · outbound

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Source-reported events for the cited work

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Observation 61b5f3bf-ce41-4e60-8cbe-055ed177e914 · outbound

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d2b6eff9-9883-4eb7-ad85-047696a8b7a7 · outbound

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Source-reported events for the cited work

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