{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T02:05:06Z","timestamp":1771466706199,"version":"3.50.1"},"reference-count":64,"publisher":"Tsinghua University Press","issue":"6","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T00:00:00Z","timestamp":1716508800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Comp. Visual. Med."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s41095-023-0387-8","type":"journal-article","created":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T19:02:49Z","timestamp":1716577369000},"page":"1219-1239","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Super-resolution reconstruction of single image for latent features"],"prefix":"10.26599","volume":"10","author":[{"given":"Xin","family":"Wang","sequence":"first","affiliation":[{"name":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610000 China; School of Marine Engineering, Guilin University of Electronic Technology, Guilin 541000, China; School of Computer and Information Security, Guilin University of Electronic Technology, Guilin 541000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing-Ke","family":"Yan","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu 610000, China; School of Marine Engineering, Guilin University of Electronic Technology, Guilin 541000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing-Ye","family":"Cai","sequence":"additional","affiliation":[{"name":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610000 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian-Hua","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610000 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qin","family":"Qin","sequence":"additional","affiliation":[{"name":"School of Marine Engineering, Guilin University of Electronic Technology, Guilin 541000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao","family":"Cheng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu 610000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"11138","reference":[{"key":"387_CR1","doi-asserted-by":"publisher","first-page":"2529","DOI":"10.1109\/TIP.2022.3157149","volume":"31","author":"L Cheng","year":"2022","unstructured":"Cheng, L.; Fang, P.; Liang, Y.; Zhang, L.; Shen, C.; Wang, H. TSGB: Target-selective gradient backprop for probing CNN visual saliency. IEEE Transactions on Image Processing Vol. 31, 2529\u20132540, 2022.","journal-title":"IEEE Transactions on Image Processing"},{"issue":"2","key":"387_CR2","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/s41095-022-0286-4","volume":"9","author":"D Jiang","year":"2023","unstructured":"Jiang, D.; Jin, Y.; Zhang, F. L.; Zhu, Z.; Zhang, Y.; Tong, R.; Tang, M. Sphere face model: A 3D morphable model with hypersphere manifold latent space using joint 2D\/3D training. Computational Visual Media Vol. 9, No. 2, 279\u2013296, 2023.","journal-title":"Computational Visual Media"},{"key":"387_CR3","doi-asserted-by":"publisher","first-page":"108496","DOI":"10.1016\/j.engappai.2024.108496","volume":"133","author":"J Yan","year":"2024","unstructured":"Yan, J.; Wang, Q.; Cheng, Y.; Su, Z.; Zhang, F.; Zhong, M.; Liu, L.; Jin, B.; Zhang, W. Optimized singleimage super-resolution reconstruction: A multimodal approach based on reversible guidance and cyclical knowledge distillation. Engineering Applications of Artificial Intelligence Vol. 133, 108496, 2024.","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"10","key":"387_CR4","doi-asserted-by":"publisher","first-page":"6865","DOI":"10.1109\/TII.2021.3139895","volume":"18","author":"M Wang","year":"2022","unstructured":"Wang, M.; Xu, Z.; Liu, X.; Xiong, J.; Xie, W. Perceptually quasi-lossless compression of screen content data via visibility modeling and deep forecasting. IEEE Transactions on Industrial Informatics Vol. 18, No. 10, 6865\u20136875, 2022.","journal-title":"IEEE Transactions on Industrial Informatics"},{"issue":"2","key":"387_CR5","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1007\/s41095-022-0278-4","volume":"9","author":"S Chen","year":"2023","unstructured":"Chen, S.; Wang, J.; Pan, W.; Gao, S.; Wang, M.; Lu, X. Towards uniform point distribution in featurepreserving point cloud filtering. Computational Visual Media Vol. 9, No. 2, 249\u2013263, 2023.","journal-title":"Computational Visual Media"},{"issue":"5","key":"387_CR6","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1007\/s00371-020-01843-3","volume":"37","author":"T Ma","year":"2021","unstructured":"Ma, T.; Tian, W. Back-projection-based progressive growing generative adversarial network for single image super-resolution. The Visual Computer Vol. 37, No. 5, 925\u2013938, 2021.","journal-title":"The Visual Computer"},{"key":"387_CR7","first-page":"116061","volume":"90","author":"N Karimi","year":"2021","unstructured":"Karimi, N.; Taban, M. R. A convex variational method for super resolution of SAR image with speckle noise. Signal Processing: Image Communication Vol. 90, Article No. 116061, 2021.","journal-title":"Signal Processing: Image Communication"},{"key":"387_CR8","first-page":"373","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops","author":"H Zhou","year":"2021","unstructured":"Zhou, H.; Huang, C.; Gao, S.; Zhuang, X. VSpSR: Explorable super-resolution via variational sparse representation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, 373\u2013381, 2021."},{"key":"387_CR9","doi-asserted-by":"publisher","first-page":"5534819","DOI":"10.1109\/TGRS.2022.3193441","volume":"60","author":"Y Shi","year":"2022","unstructured":"Shi, Y.; Han, L.; Han, L.; Chang, S.; Hu, T.; Dancey, D. A latent encoder coupled generative adversarial network (LE-GAN) for efficient hyperspectral image super-resolution. IEEE Transactions on Geoscience and Remote Sensing Vol. 60, 5534819, 2022.","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"387_CR10","first-page":"4056","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"J Liang","year":"2021","unstructured":"Liang, J.; Lugmayr, A.; Zhang, K.; Danelljan, M.; Van Gool, L.; Timofte, R. Hierarchical conditional flow: A unified framework for image super-resolution and image rescaling. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 4056\u20134065, 2021."},{"key":"387_CR11","first-page":"516","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops","author":"Z S Liu","year":"2021","unstructured":"Liu, Z. S.; Siu, W. C.; Wang, L. W. Variational AutoEncoder for reference based image superresolution. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, 516\u2013525, 2021."},{"key":"387_CR12","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2024.3377728","volume-title":"IEEE Transactions on Emerging Topics in Computational Intelligence","author":"J Yan","year":"2024","unstructured":"Yan, J.; Cheng, Y.; Wang, Q.; Liu, L.; Zhang, W.; Jin, B. Transformer and graph convolutionbased unsupervised detection of machine anomalous sound under domain shifts. IEEE Transactions on Emerging Topics in Computational Intelligence doi: https:\/\/doi.org\/10.1109\/TETCI.2024.3377728, 2024."},{"key":"387_CR13","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.neucom.2022.01.029","volume":"479","author":"H Li","year":"2022","unstructured":"Li, H.; Yang, Y.; Chang, M.; Chen, S.; Feng, H.; Xu, Z.; Li, Q.; Chen, Y. SRDiff: Single image super-resolution with diffusion probabilistic models. Neurocomputing Vol. 479, 47\u201359, 2022.","journal-title":"Neurocomputing"},{"key":"387_CR14","first-page":"10686","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"S Gu","year":"2022","unstructured":"Gu, S.; Chen, D.; Bao, J.; Wen, F.; Zhang, B.; Chen, D.; Yuan, L.; Guo, B. Vector quantized diffusion model for text-to-image synthesis. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 10686\u201310696, 2022."},{"key":"387_CR15","first-page":"5530","volume-title":"Proceedings of the 38th International Conference on Machine Learning","author":"J Kim","year":"2021","unstructured":"Kim, J.; Kong, J.; Son, J. Conditional variational autoencoder with adversarial learning for end-toend text-to-speech. In: Proceedings of the 38th International Conference on Machine Learning, 5530\u20135540, 2021."},{"issue":"3","key":"387_CR16","doi-asserted-by":"publisher","first-page":"1020","DOI":"10.1109\/TCSVT.2021.3071191","volume":"32","author":"J Zhang","year":"2022","unstructured":"Zhang, J.; Long, C.; Wang, Y.; Piao, H.; Mei, H.; Yang, X.; Yin, B. A two-stage attentive network for single image super-resolution. IEEE Transactions on Circuits and Systems for Video Technology Vol. 32, No. 3, 1020\u20131033, 2022.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"387_CR17","first-page":"11057","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"T Dai","year":"2019","unstructured":"Dai, T.; Cai, J.; Zhang, Y.; Xia, S. T.; Zhang, L. Second-order attention network for single image super-resolution. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 11057\u201311066, 2019."},{"key":"387_CR18","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/978-3-030-58610-2_12","volume-title":"Computer Vision - ECCV 2020. Lecture Notes in Computer Science, Vol. 12357","author":"B Niu","year":"2020","unstructured":"Niu, B.; Wen, W.; Ren, W.; Zhang, X.; Yang, L.; Wang, S.; Zhang, K.; Cao, X.; Shen, H. Single image super-resolution via a holistic attention network. In: Computer Vision - ECCV 2020. Lecture Notes in Computer Science, Vol. 12357. Vedaldi, A.; Bischof, H.; Brox, T.; Frahm, J. M. Eds. Springer Cham, 191\u2013207, 2020."},{"key":"387_CR19","first-page":"3499","volume":"295","author":"S Zhou","year":"2020","unstructured":"Zhou, S.; Zhang, J.; Zuo, W.; Loy, C. C. Crossscale internal graph neural network for image superresolution. In: Proceedings of the 34th International Conference on Neural Information Processing Systems, Article No. 295, 3499\u20133509, 2020.","journal-title":"Proceedings of the 34th International Conference on Neural Information Processing Systems"},{"key":"387_CR20","first-page":"63","volume-title":"Computer Vision - ECCV 2018 Workshops. Lecture Notes in Computer Science, Vol. 11133","author":"X Wang","year":"2019","unstructured":"Wang, X.; Yu, K.; Wu, S.; Gu, J.; Liu, Y.; Dong, C.; Qiao, Y.; Loy, C. C. ESRGAN: Enhanced super-resolution generative adversarial networks. In: Computer Vision - ECCV 2018 Workshops. Lecture Notes in Computer Science, Vol. 11133. Leal-Taix\u00e9, L.; Roth, S. Eds. Springer Cham, 63\u201379, 2019."},{"key":"387_CR21","first-page":"14240","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"K C K Chan","year":"2021","unstructured":"Chan, K. C. K.; Wang, X.; Xu, X.; Gu, J.; Loy, C. C. GLEAN: Generative latent bank for largefactor image super-resolution. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 14240\u201314249, 2021."},{"issue":"11","key":"387_CR22","doi-asserted-by":"publisher","first-page":"7418","DOI":"10.1109\/TCSVT.2022.3188433","volume":"32","author":"Z Liu","year":"2022","unstructured":"Liu, Z.; Li, Z.; Wu, X.; Liu, Z.; Chen, W. DSRGAN: Detail prior-assisted perceptual single image superresolution via generative adversarial networks. IEEE Transactions on Circuits and Systems for Video Technology Vol. 32, No. 11, 7418\u20137431, 2022.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"387_CR23","doi-asserted-by":"crossref","unstructured":"Gatopoulos, I.; Stol, M.; Tomczak, J. M. Superresolution variational auto-encoders. arXiv preprint arXiv:2006.05218, 2020.","DOI":"10.3390\/e23060747"},{"issue":"4","key":"387_CR24","doi-asserted-by":"publisher","first-page":"1351","DOI":"10.1109\/TCSVT.2020.3003832","volume":"31","author":"Z S Liu","year":"2021","unstructured":"Liu, Z. S.; Siu, W. C.; Chan, Y. L. Photo-realistic image super-resolution via variational autoencoders. IEEE Transactions on Circuits and Systems for Video Technology Vol. 31, No. 4, 1351\u20131365, 2021.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"issue":"1","key":"387_CR25","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1109\/TCSVT.2021.3130147","volume":"33","author":"X Xiang","year":"2023","unstructured":"Xiang, X.; Zhu, L.; Li, J.; Wang, Y.; Huang, T.; Tian, Y. Learning super-resolution reconstruction for high temporal resolution spike stream. IEEE Transactions on Circuits and Systems for Video Technology Vol. 33, No. 1, 16\u201329, 2023.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"387_CR26","first-page":"364","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops","author":"Y Jo","year":"2021","unstructured":"Jo, Y.; Yang, S.; Kim, S. J. SRFlow-DA: Super-resolution using normalizing flow with deep convolutional block. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, 364\u2013372, 2021."},{"issue":"4","key":"387_CR27","first-page":"4713","volume":"45","author":"C Saharia","year":"2023","unstructured":"Saharia, C.; Ho, J.; Chan, W.; Salimans, T.; Fleet, D. J.; Norouzi, M. Image super-resolution via iterative refinement. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 45, No. 4, 4713\u20134726, 2023.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"387_CR28","unstructured":"Ryu, D.; Ye, J. C. Pyramidal denoising diffusion probabilistic models. arXiv preprint arXiv:2208.01864, 2022."},{"key":"387_CR29","first-page":"13049","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"B Xia","year":"2023","unstructured":"Xia, B.; Zhang, Y.; Wang, S.; Wang, Y.; Wu, X.; Tian, Y.; Yang, W.; Van Gool, L. DiffIR: Efficient diffusion model for image restoration. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 13049\u201313059, 2023."},{"key":"387_CR30","volume-title":"Zero-shot image restoration using denoising diffusion null-space model","author":"Y Wang","year":"2022","unstructured":"Wang, Y.; Yu, J.; Zhang, J. Zero-shot image restoration using denoising diffusion null-space model. arXiv preprint arXiv:2212.00490, 2022."},{"key":"387_CR31","first-page":"10674","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"R Rombach","year":"2022","unstructured":"Rombach, R.; Blattmann, A.; Lorenz, D.; Esser, P.; Ommer, B. High-resolution image synthesis with latent diffusion models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 10674\u201310685, 2022."},{"key":"387_CR32","first-page":"6840","volume":"574","author":"J Ho","year":"2020","unstructured":"Ho, J.; Jain, A.; Abbeel, P. Denoising diffusion probabilistic models. In: Proceedings of the 34th International Conference on Neural Information Processing Systems, Article No. 574, 6840\u20136851, 2020.","journal-title":"Proceedings of the 34th International Conference on Neural Information Processing Systems"},{"key":"387_CR33","first-page":"8162","volume-title":"Proceedings of the 38th International Conference on Machine Learning","author":"A Nichol","year":"2021","unstructured":"Nichol, A.; Dhariwal, P. Improved denoising diffusion probabilistic models. In: Proceedings of the 38th International Conference on Machine Learning, 8162\u20138171, 2021."},{"key":"387_CR34","doi-asserted-by":"publisher","first-page":"119881","DOI":"10.1109\/ACCESS.2021.3108516","volume":"9","author":"Q Qin","year":"2021","unstructured":"Qin, Q.; Yan, J.; Wang, Q.; Wang, X.; Li, M.; Wang, Y. ETDNet: An efficient transformer deraining model. IEEE Access Vol. 9, 119881\u2013119893, 2021.","journal-title":"IEEE Access"},{"key":"387_CR35","first-page":"689","volume-title":"Proceedings of the World Wide Web Conference","author":"D Liang","year":"2018","unstructured":"Liang, D.; Krishnan, R. G.; Hoffman, M. D.; Jebara, T. Variational autoencoders for collaborative filtering. In: Proceedings of the World Wide Web Conference, 689\u2013698, 2018."},{"key":"387_CR36","first-page":"10236","volume-title":"Proceedings of the 32nd International Conference on Neural Information Processing Systems","author":"D P Kingma","year":"2018","unstructured":"Kingma, D. P.; Dhariwal, P. Glow: Generative flow with invertible 1\u00d71 convolutions. In: Proceedings of the 32nd International Conference on Neural Information Processing Systems, 10236\u201310245, 2018."},{"key":"387_CR37","volume-title":"Proceedings of the 10th International Conference on Learning Representations","author":"Z Xiao","year":"2022","unstructured":"Xiao, Z.; Kreis, K.; Vahdat, A. Tackling the generative learning trilemma with denoising diffusion GANs. In: Proceedings of the 10th International Conference on Learning Representations, 2022."},{"key":"387_CR38","first-page":"105","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"C Ledig","year":"2017","unstructured":"Ledig, C.; Theis, L.; Huszar, F.; Caballero, J.; Cunningham, A.; Acosta, A.; Aitken, A.; Tejani, A.; Totz, J.; Wang, Z.; et al. Photo-realistic single image super-resolution using a generative adversarial network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 105\u2013114, 2017."},{"key":"387_CR39","first-page":"5873","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"D Y Park","year":"2019","unstructured":"Park, D. Y.; Lee, K. H. Arbitrary style transfer with style-attentional networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 5873\u20135881, 2019."},{"issue":"12","key":"387_CR40","doi-asserted-by":"publisher","first-page":"4217","DOI":"10.1109\/TPAMI.2020.2970919","volume":"43","author":"T Karras","year":"2021","unstructured":"Karras, T.; Laine, S.; Aila, T. A style-based generator architecture for generative adversarial networks. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43, No. 12, 4217\u20134228, 2021.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"387_CR41","unstructured":"Liu, Z.; Luo, P.; Wang, X.; Tang, X. Large-scale CelebFaces Attributes (CelebA) dataset. Available at https:\/\/mmlab.ie.cuhk.edu.hk\/projects\/CelebA.html"},{"key":"387_CR42","first-page":"1122","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops","author":"E Agustsson","year":"2017","unstructured":"Agustsson, E.; Timofte, R. NTIRE 2017 challenge on single image super-resolution: Dataset and study. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 1122\u20131131, 2017."},{"key":"387_CR43","first-page":"1132","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops","author":"B Lim","year":"2017","unstructured":"Lim, B.; Son, S.; Kim, H.; Nah, S.; Lee, K. M. Enhanced deep residual networks for single image superresolution. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 1132\u20131140, 2017."},{"key":"387_CR44","first-page":"4771","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"K Zhang","year":"2021","unstructured":"Zhang, K.; Liang, J.; Van Gool, L.; Timofte, R. Designing a practical degradation model for deep blind image super-resolution. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 4771\u20134780, 2021."},{"key":"387_CR45","volume-title":"Proceedings of the 7th International Conference on Learning Representations","author":"I Loshchilov","year":"2019","unstructured":"Loshchilov, I.; Hutter, F. Decoupled weight decay regularization. In: Proceedings of the 7th International Conference on Learning Representations, 2019."},{"key":"387_CR46","doi-asserted-by":"crossref","unstructured":"Zhang, Y.; Li, K.; Li, K.; Wang, L.; Zhong, B.; Fu, Y. Image super-resolution using very deep residual channel attention networks. In: Computer Vision - ECCV 2018. Lecture Notes in Computer Science, Vol. 11211. Ferrari, V.; Hebert, M.; Sminchisescu, C.; Weiss, Y. Eds. Springer Cham, 294\u2013310, 2018.","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"387_CR47","first-page":"3516","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Y Mei","year":"2021","unstructured":"Mei, Y.; Fan, Y.; Zhou, Y. Image super-resolution with non-local sparse attention. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 3516\u20133525, 2021."},{"key":"387_CR48","first-page":"1833","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision Workshops","author":"J Liang","year":"2021","unstructured":"Liang, J.; Cao, J.; Sun, G.; Zhang, K.; Van Gool, L.; Timofte, R. SwinIR: Image restoration using swin transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision Workshops, 1833\u20131844, 2021."},{"key":"387_CR49","unstructured":"Zhang, D.; Huang, F.; Liu, S.; Wang, X.; Jin, Z. SwinFIR: Revisiting the SwinIR with fast Fourier convolution and improved training for image superresolution. arXiv preprint arXiv:2208.11247, 2022."},{"key":"387_CR50","unstructured":"Li, W.; Lu, X.; Qian, S.; Lu, J.; Zhang, X.; Jia, J. On efficient transformer-based image pre-training for low-level vision. arXiv preprint arXiv:2112.10175, 2021."},{"key":"387_CR51","first-page":"606","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"X Wang","year":"2018","unstructured":"Wang, X.; Yu, K.; Dong, C.; Change Loy, C. Recovering realistic texture in image super-resolution by deep spatial feature transform. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 606\u2013615, 2018."},{"key":"387_CR52","first-page":"3214","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"K Zhang","year":"2020","unstructured":"Zhang, K.; Van Gool, L.; Timofte, R. Deep unfolding network for image super-resolution. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 3214\u20133223, 2020."},{"key":"387_CR53","first-page":"7766","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"C Ma","year":"2020","unstructured":"Ma, C.; Rao, Y.; Cheng, Y.; Chen, C.; Lu, J.; Zhou, J. Structure-preserving super resolution with gradient guidance. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 7766\u20137775, 2020."},{"key":"387_CR54","first-page":"1412","volume-title":"Proceedings of the 36th AAAI Conference on Artificial Intelligence","author":"W Li","year":"2022","unstructured":"Li, W.; Zhou, K.; Qi, L.; Lu, L.; Lu, J. Best-buddy GANs for highly detailed image super-resolution. In: Proceedings of the 36th AAAI Conference on Artificial Intelligence, 1412\u20131420, 2022."},{"key":"387_CR55","first-page":"823","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"G Parmar","year":"2021","unstructured":"Parmar, G.; Li, D.; Lee, K.; Tu, Z. Dual contradistinctive generative autoencoder. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 823\u2013832, 2021."},{"key":"387_CR56","first-page":"12533","volume-title":"Proceedings of the 35th Conference on Neural Information Processing Systems","author":"A Sinha","year":"2021","unstructured":"Sinha, A.; Song, J.; Meng, C.; Ermon, S. D2C: Diffusiondecoding models for few-shot conditional generation. In: Proceedings of the 35th Conference on Neural Information Processing Systems, 12533\u201312548, 2021."},{"key":"387_CR57","first-page":"19667","volume":"1650","author":"A Vahdat","year":"2020","unstructured":"Vahdat, A.; Kautz, J. NVAE: A deep hierarchical variational autoencoder. In: Proceedings of the 34th International Conference on Neural Information Processing Systems, Article No. 1650, 19667\u201319679, 2020.","journal-title":"Proceedings of the 34th International Conference on Neural Information Processing Systems"},{"key":"387_CR58","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1007\/978-3-030-58558-7_42","volume-title":"Computer Vision - ECCV 2020. Lecture Notes in Computer Science, Vol. 12350","author":"A Lugmayr","year":"2020","unstructured":"Lugmayr, A.; Danelljan, M.; Van Gool, L.; Timofte, R. SRFlow: Learning the super-resolution space with normalizing flow. In: Computer Vision - ECCV 2020. Lecture Notes in Computer Science, Vol. 12350. Vedaldi, A.; Bischof, H.; Brox, T.; Frahm, J. M. Eds. Springer Cham, 715\u2013732, 2020."},{"issue":"7","key":"387_CR59","doi-asserted-by":"publisher","first-page":"10486","DOI":"10.1609\/aaai.v34i07.6619","volume":"34","author":"B Cao","year":"2020","unstructured":"Cao, B.; Zhang, H.; Wang, N.; Gao, X.; Shen, D. Auto-GAN: Self-supervised collaborative learning for medical image synthesis. Proceedings of the AAAI Conference on Artificial Intelligence Vol. 34, No. 7, 10486\u201310493, 2020.","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"387_CR60","volume-title":"Proceedings of the 7th International Conference on Learning Representations","author":"A Brock","year":"2019","unstructured":"Brock, A.; Donahue, J.; Simonyan, K. Large scale GAN training for high fidelity natural image synthesis. In: Proceedings of the 7th International Conference on Learning Representations, 2019."},{"key":"387_CR61","volume-title":"Proceedings of the 6th International Conference on Learning Representations","author":"T Miyato","year":"2018","unstructured":"Miyato, T.; Kataoka, T.; Koyama, M.; Yoshida, Y. Spectral normalization for generative adversarial networks. In: Proceedings of the 6th International Conference on Learning Representations, 2018."},{"key":"387_CR62","first-page":"11918","volume":"1067","author":"Y Song","year":"2019","unstructured":"Song, Y.; Ermon, S. Generative modeling by estimating gradients of the data distribution. In: Proceedings of the 33rd International Conference on Neural Information Processing Systems, Article No. 1067, 11918\u201311930, 2019.","journal-title":"Proceedings of the 33rd International Conference on Neural Information Processing Systems"},{"key":"387_CR63","first-page":"12438","volume":"1043","author":"Y Song","year":"2020","unstructured":"Song, Y.; Ermon, S. Improved techniques for training score-based generative models. In: Proceedings of the 34th International Conference on Neural Information Processing Systems, Article No. 1043, 12438\u201312448, 2020.","journal-title":"Proceedings of the 34th International Conference on Neural Information Processing Systems"},{"key":"387_CR64","volume-title":"Proceedings of the 30th British Machine Vision Conference","author":"D Kim","year":"2019","unstructured":"Kim, D.; Kim, M.; Kwon, G.; Kim, D. Progressive face super-resolution via attention to facial landmark. In: Proceedings of the 30th British Machine Vision Conference, 2019."}],"container-title":["Computational Visual Media"],"original-title":[],"link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41095-023-0387-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s41095-023-0387-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41095-023-0387-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10750449\/10884987\/10885000.pdf?arnumber=10885000","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T18:38:16Z","timestamp":1762367896000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10885000\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":64,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1007\/s41095-023-0387-8","relation":{},"ISSN":["2096-0662","2096-0433"],"issn-type":[{"value":"2096-0662","type":"electronic"},{"value":"2096-0433","type":"print"}],"subject":[],"published":{"date-parts":[[2024,12]]},"assertion":[{"value":"14 February 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 October 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 May 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declaration of competing interest"}}]}}