{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T12:13:26Z","timestamp":1775132006133,"version":"3.50.1"},"reference-count":60,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T00:00:00Z","timestamp":1770076800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T00:00:00Z","timestamp":1770076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China,China","doi-asserted-by":"crossref","award":["62171319"],"award-info":[{"award-number":["62171319"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1007\/s00530-025-02172-y","type":"journal-article","created":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T07:36:50Z","timestamp":1770104210000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Dual-domain perception and cross-domain collaboration guidance network for image inpainting"],"prefix":"10.1007","volume":"32","author":[{"given":"Lili","family":"Shen","sequence":"first","affiliation":[]},{"given":"Ran","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Ye","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Yu","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jiahao","family":"Wen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,2,3]]},"reference":[{"issue":"4","key":"2172_CR1","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1006\/jvci.2001.0487","volume":"12","author":"TF Chan","year":"2001","unstructured":"Chan, T.F., Shen, J.: Nontexture inpainting by curvature-driven diffusions. J. Vis. Commun. Image Represent. 12(4), 436\u2013449 (2001)","journal-title":"J. Vis. Commun. Image Represent."},{"issue":"8","key":"2172_CR2","doi-asserted-by":"publisher","first-page":"2983","DOI":"10.1109\/TIP.2013.2237916","volume":"22","author":"S Gepshtein","year":"2013","unstructured":"Gepshtein, S., Keller, Y.: Image completion by diffusion maps and spectral relaxation. IEEE Trans. Image Process. 22(8), 2983\u20132994 (2013)","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"2172_CR3","doi-asserted-by":"publisher","first-page":"1200","DOI":"10.1109\/TIP.2004.833105","volume":"13","author":"A Criminisi","year":"2004","unstructured":"Criminisi, A., P\u00e9rez, P., Toyama, K.: Region filling and object removal by exemplar-based image inpainting. IEEE Trans. Image Process. 13(9), 1200\u20131212 (2004)","journal-title":"IEEE Trans. Image Process."},{"issue":"5","key":"2172_CR4","doi-asserted-by":"publisher","first-page":"1310","DOI":"10.1109\/TCSVT.2018.2839351","volume":"29","author":"D Jin","year":"2018","unstructured":"Jin, D., Bai, X.: Patch-sparsity-based image inpainting through a facet deduced directional derivative. IEEE Trans. Circuits Syst. Video Technol. 29(5), 1310\u20131324 (2018)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"6","key":"2172_CR5","doi-asserted-by":"publisher","first-page":"3819","DOI":"10.1007\/s00530-023-01184-w","volume":"29","author":"F Xiao","year":"2023","unstructured":"Xiao, F., Zhang, Z., Yao, Y.: Ctnet: hybrid architecture based on cnn and transformer for image inpainting detection. Multimedia Syst. 29(6), 3819\u20133832 (2023)","journal-title":"Multimedia Syst."},{"issue":"5","key":"2172_CR6","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/s00530-024-01469-8","volume":"30","author":"W Wu","year":"2024","unstructured":"Wu, W., Lv, G., Duan, Y., Liang, P., Zhang, Y., Xia, Y.: Dual convolutional neural network with attention for image blind denoising. Multimedia Syst. 30(5), 263 (2024)","journal-title":"Multimedia Syst."},{"key":"2172_CR7","doi-asserted-by":"crossref","unstructured":"Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., Efros, A.A.: Context encoders: Feature learning by inpainting. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2536\u20132544 (2016)","DOI":"10.1109\/CVPR.2016.278"},{"key":"2172_CR8","doi-asserted-by":"crossref","unstructured":"Zheng, C., Cham, T.-J., Cai, J.: Pluralistic image completion. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1438\u20131447 (2019)","DOI":"10.1109\/CVPR.2019.00153"},{"key":"2172_CR9","doi-asserted-by":"crossref","unstructured":"Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., Huang, T.S.: Generative image inpainting with contextual attention. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5505\u20135514 (2018)","DOI":"10.1109\/CVPR.2018.00577"},{"issue":"4","key":"2172_CR10","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s00530-024-01411-y","volume":"30","author":"W Wan","year":"2024","unstructured":"Wan, W., Chen, S., Yao, L., Zhang, Y.: Unsupervised masked face inpainting based on contrastive learning and attention mechanism. Multimedia Syst. 30(4), 209 (2024)","journal-title":"Multimedia Syst."},{"issue":"2","key":"2172_CR11","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1007\/s00530-024-01265-4","volume":"30","author":"Y Yang","year":"2024","unstructured":"Yang, Y., Yao, S., Liu, C., Zhang, Z., Xie, G.: Cascaded refinement residual attention network for image outpainting. Multimedia Syst. 30(2), 68 (2024)","journal-title":"Multimedia Syst."},{"issue":"5","key":"2172_CR12","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1007\/s00530-024-01466-x","volume":"30","author":"Y Li","year":"2024","unstructured":"Li, Y., Li, K., Li, H., Zhang, W.: Cafin: cross-attention based face image repair network. Multimedia Syst. 30(5), 271 (2024)","journal-title":"Multimedia Syst."},{"key":"2172_CR13","doi-asserted-by":"crossref","unstructured":"Chen, L., Zhang, H., Xiao, J., Nie, L., Shao, J., Liu, W., Chua, T.-S.: Sca-cnn: Spatial and channel-wise attention in convolutional networks for image captioning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5659\u20135667 (2017)","DOI":"10.1109\/CVPR.2017.667"},{"key":"2172_CR14","doi-asserted-by":"publisher","first-page":"7299","DOI":"10.1109\/TMM.2022.3219728","volume":"25","author":"R Zhang","year":"2022","unstructured":"Zhang, R., Quan, W., Zhang, Y., Wang, J., Yan, D.-M.: W-net: Structure and texture interaction for image inpainting. IEEE Trans. Multimedia 25, 7299\u20137310 (2022)","journal-title":"IEEE Trans. Multimedia"},{"key":"2172_CR15","doi-asserted-by":"crossref","unstructured":"Wan, Z., Zhang, J., Chen, D., Liao, J.: High-fidelity pluralistic image completion with transformers. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 4692\u20134701 (2021)","DOI":"10.1109\/ICCV48922.2021.00465"},{"key":"2172_CR16","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141., Polosukhin, I.: Attention is all you need. Advances in neural information processing systems 30 (2017)"},{"key":"2172_CR17","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Barnes, C., Shechtman, E., Amirghodsi, S.: Transfill: Reference-guided image inpainting by merging multiple color and spatial transformations. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2266\u20132276 (2021)","DOI":"10.1109\/CVPR46437.2021.00230"},{"key":"2172_CR18","doi-asserted-by":"crossref","unstructured":"Dong, X., Bao, J., Chen, D., Zhang, W., Yu, N., Yuan, L., Chen, D., Guo, B.: Cswin transformer: A general vision transformer backbone with cross-shaped windows. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12124\u201312134 (2022)","DOI":"10.1109\/CVPR52688.2022.01181"},{"key":"2172_CR19","doi-asserted-by":"crossref","unstructured":"Zheng, C., Cham, T.-J., Cai, J., Phung, D.: Bridging global context interactions for high-fidelity image completion. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11512\u201311522 (2022)","DOI":"10.1109\/CVPR52688.2022.01122"},{"key":"2172_CR20","doi-asserted-by":"crossref","unstructured":"Cao, C., Dong, Q., Fu, Y.: Learning prior feature and attention enhanced image inpainting. In: European Conference on Computer Vision, pp. 306\u2013322 (2022). Springer","DOI":"10.1007\/978-3-031-19784-0_18"},{"key":"2172_CR21","doi-asserted-by":"crossref","unstructured":"Deng, Y., Hui, S., Meng, R., Zhou, S., Wang, J.: Hourglass attention network for image inpainting. In: European Conference on Computer Vision, pp. 483\u2013501 (2022). Springer","DOI":"10.1007\/978-3-031-19797-0_28"},{"key":"2172_CR22","doi-asserted-by":"crossref","unstructured":"Suvorov, R., Logacheva, E., Mashikhin, A., Remizova, A., Ashukha, A., Silvestrov, A., Kong, N., Goka, H., Park, K., Lempitsky, V.: Resolution-robust large mask inpainting with fourier convolutions. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 2149\u20132159 (2022)","DOI":"10.1109\/WACV51458.2022.00323"},{"issue":"6","key":"2172_CR23","doi-asserted-by":"publisher","first-page":"1651","DOI":"10.1109\/TETCI.2023.3263200","volume":"7","author":"L Shen","year":"2023","unstructured":"Shen, L., Yan, J., Sun, X., Li, B., Pan, Z.: Wavelet-based self-attention gan with collaborative feature fusion for image inpainting. IEEE Trans. Emerg. Topics Comput. Intell. 7(6), 1651\u20131664 (2023)","journal-title":"IEEE Trans. Emerg. Topics Comput. Intell."},{"issue":"12","key":"2172_CR24","doi-asserted-by":"publisher","first-page":"3425","DOI":"10.1109\/TBME.2023.3288031","volume":"70","author":"C Qian","year":"2023","unstructured":"Qian, C., Wang, Z., Zhang, X., Shi, B., Jiang, B., Tao, R., Li, J., Ge, Y., Kang, T., Lin, J.: A paired phase and magnitude reconstruction for advanced diffusion-weighted imaging. IEEE Trans. Biomed. Eng. 70(12), 3425\u20133435 (2023)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"4","key":"2172_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3072959.3073659","volume":"36","author":"S Iizuka","year":"2017","unstructured":"Iizuka, S., Simo-Serra, E., Ishikawa, H.: Globally and locally consistent image completion. ACM Trans. Graph. (ToG) 36(4), 1\u201314 (2017)","journal-title":"ACM Trans. Graph. (ToG)"},{"key":"2172_CR26","doi-asserted-by":"crossref","unstructured":"Liu, G., Reda, F.A., Shih, K.J., Wang, T.-C., Tao, A., Catanzaro, B.: Image inpainting for irregular holes using partial convolutions. In: Proceedings of the European Conference on Computer Vision, pp. 85\u2013100 (2018)","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"2172_CR27","doi-asserted-by":"crossref","unstructured":"Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., Huang, T.S.: Free-form image inpainting with gated convolution. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 4471\u20134480 (2019)","DOI":"10.1109\/ICCV.2019.00457"},{"key":"2172_CR28","doi-asserted-by":"crossref","unstructured":"Wadhwa, G., Dhall, A., Murala, S., Tariq, U.: Hyperrealistic image inpainting with hypergraphs. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 3912\u20133921 (2021)","DOI":"10.1109\/WACV48630.2021.00396"},{"key":"2172_CR29","doi-asserted-by":"publisher","first-page":"1200","DOI":"10.1109\/TIP.2023.3238317","volume":"32","author":"J Kim","year":"2023","unstructured":"Kim, J., Kim, W., Oh, H., Lee, S.: Progressive contextual aggregation empowered by pixel-wise confidence scoring for image inpainting. IEEE Trans. Image Process. 32, 1200\u20131214 (2023)","journal-title":"IEEE Trans. Image Process."},{"key":"2172_CR30","doi-asserted-by":"crossref","unstructured":"Kim, S.Y., Aberman, K., Kanazawa, N., Garg, R., Wadhwa, N., Chang, H., Karnad, N., Kim, M., Liba, O.: Zoom-to-inpaint: Image inpainting with high-frequency details. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 477\u2013487 (2022)","DOI":"10.1109\/CVPRW56347.2022.00063"},{"key":"2172_CR31","doi-asserted-by":"crossref","unstructured":"Nazeri, K., Ng, E., Joseph, T., Qureshi, F., Ebrahimi, M.: Edgeconnect: Structure guided image inpainting using edge prediction. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision Workshops, (2019)","DOI":"10.1109\/ICCVW.2019.00408"},{"key":"2172_CR32","doi-asserted-by":"crossref","unstructured":"Xiong, W., Yu, J., Lin, Z., Yang, J., Lu, X., Barnes, C., Luo, J.: Foreground-aware image inpainting. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5840\u20135848 (2019)","DOI":"10.1109\/CVPR.2019.00599"},{"issue":"10","key":"2172_CR33","doi-asserted-by":"publisher","first-page":"12667","DOI":"10.1109\/TPAMI.2023.3280222","volume":"45","author":"C Cao","year":"2023","unstructured":"Cao, C., Dong, Q., Fu, Y.: Zits++: Image inpainting by improving the incremental transformer on structural priors. IEEE Trans. Pattern Anal. Mach. Intell. 45(10), 12667\u201312684 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"10","key":"2172_CR34","doi-asserted-by":"publisher","first-page":"12377","DOI":"10.1109\/TPAMI.2023.3284431","volume":"45","author":"J Wang","year":"2023","unstructured":"Wang, J., Yuan, C., Li, B., Deng, Y., Hu, W., Maybank, S.: Self-prior guided pixel adversarial networks for blind image inpainting. IEEE Trans. Pattern Anal. Mach. Intell. 45(10), 12377\u201312393 (2023)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2172_CR35","doi-asserted-by":"crossref","unstructured":"Li, T., Zhuang, Z., Wang, H., Sun, J.: Random projector: efficient deep image prior. In: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1\u20135 (2023). IEEE","DOI":"10.1109\/ICASSP49357.2023.10097088"},{"key":"2172_CR36","unstructured":"Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., et al.: An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)"},{"key":"2172_CR37","doi-asserted-by":"crossref","unstructured":"Li, C.-Y., Lin, Y.-Y., Chiu, W.-C.: Decontamination transformer for blind image inpainting. In: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1\u20135 (2023). IEEE","DOI":"10.1109\/ICASSP49357.2023.10094950"},{"key":"2172_CR38","doi-asserted-by":"crossref","unstructured":"Dong, Q., Cao, C., Fu, Y.: Incremental transformer structure enhanced image inpainting with masking positional encoding. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11358\u201311368 (2022)","DOI":"10.1109\/CVPR52688.2022.01107"},{"key":"2172_CR39","doi-asserted-by":"crossref","unstructured":"Li, W., Lin, Z., Zhou, K., Qi, L., Wang, Y., Jia, J.: Mat: Mask-aware transformer for large hole image inpainting. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10758\u201310768 (2022)","DOI":"10.1109\/CVPR52688.2022.01049"},{"key":"2172_CR40","doi-asserted-by":"crossref","unstructured":"Li, Z., Wang, Y.-G.: Optimizing transformer for large-hole image inpainting. In: 2023 IEEE International Conference on Image Processing (ICIP), pp. 1180\u20131184 (2023). IEEE","DOI":"10.1109\/ICIP49359.2023.10222218"},{"key":"2172_CR41","doi-asserted-by":"crossref","unstructured":"Wang, J., Deng, X., Xu, M., Chen, C., Song, Y.: Multi-level wavelet-based generative adversarial network for perceptual quality enhancement of compressed video. In: European Conference on Computer Vision, pp. 405\u2013421 (2020). Springer","DOI":"10.1007\/978-3-030-58568-6_24"},{"key":"2172_CR42","doi-asserted-by":"crossref","unstructured":"Zhang, L., Chen, X., Tu, X., Wan, P., Xu, N., Ma, K.: Wavelet knowledge distillation: Towards efficient image-to-image translation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12464\u201312474 (2022)","DOI":"10.1109\/CVPR52688.2022.01214"},{"key":"2172_CR43","doi-asserted-by":"crossref","unstructured":"Gao, Y., Wei, F., Bao, J., Gu, S., Chen, D., Wen, F., Lian, Z.: High-fidelity and arbitrary face editing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16115\u201316124 (2021)","DOI":"10.1109\/CVPR46437.2021.01585"},{"key":"2172_CR44","doi-asserted-by":"crossref","unstructured":"Deng, X., Yang, R., Xu, M., Dragotti, P.L.: Wavelet domain style transfer for an effective perception-distortion tradeoff in single image super-resolution. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 3076\u20133085 (2019)","DOI":"10.1109\/ICCV.2019.00317"},{"key":"2172_CR45","doi-asserted-by":"crossref","unstructured":"Xu, K., Qin, M., Sun, F., Wang, Y., Chen, Y.-K., Ren, F.: Learning in the frequency domain. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1740\u20131749 (2020)","DOI":"10.1109\/CVPR42600.2020.00181"},{"key":"2172_CR46","doi-asserted-by":"crossref","unstructured":"Jiang, L., Dai, B., Wu, W., Loy, C.C.: Focal frequency loss for image reconstruction and synthesis. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 13919\u201313929 (2021)","DOI":"10.1109\/ICCV48922.2021.01366"},{"key":"2172_CR47","first-page":"4479","volume":"33","author":"L Chi","year":"2020","unstructured":"Chi, L., Jiang, B., Mu, Y.: Fast fourier convolution. Adv. Neural. Inf. Process. Syst. 33, 4479\u20134488 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"2172_CR48","doi-asserted-by":"crossref","unstructured":"Lu, Z., Jiang, J., Huang, J., Wu, G., Liu, X.: Glama: Joint spatial and frequency loss for general image inpainting. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1301\u20131310 (2022)","DOI":"10.1109\/CVPRW56347.2022.00136"},{"key":"2172_CR49","doi-asserted-by":"crossref","unstructured":"Yu, Y., Zhan, F., Lu, S., Pan, J., Ma, F., Xie, X., Miao, C.: Wavefill: A wavelet-based generation network for image inpainting. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 14114\u201314123 (2021)","DOI":"10.1109\/ICCV48922.2021.01385"},{"key":"2172_CR50","doi-asserted-by":"publisher","first-page":"2382","DOI":"10.1109\/TMM.2022.3146774","volume":"25","author":"J Wang","year":"2022","unstructured":"Wang, J., Chen, S., Wu, Z., Jiang, Y.-G.: Ft-tdr: Frequency-guided transformer and top-down refinement network for blind face inpainting. IEEE Trans. Multimedia 25, 2382\u20132392 (2022)","journal-title":"IEEE Trans. Multimedia"},{"key":"2172_CR51","doi-asserted-by":"crossref","unstructured":"Jain, J., Zhou, Y., Yu, N., Shi, H.: Keys to better image inpainting: Structure and texture go hand in hand. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 208\u2013217 (2023)","DOI":"10.1109\/WACV56688.2023.00029"},{"key":"2172_CR52","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2021.108278","volume":"189","author":"B Li","year":"2021","unstructured":"Li, B., Zheng, B., Li, H., Li, Y.: Detail-enhanced image inpainting based on discrete wavelet transforms. Sig. Process. 189, 108278 (2021)","journal-title":"Sig. Process."},{"key":"2172_CR53","unstructured":"Li, S., Wang, Z., Liu, Z., Tan, C., Lin, H., Wu, D., Chen, Z., Zheng, J., Li, S.Z.: Moganet: Multi-order gated aggregation network. In: International Conference on Learning Representations (2024)"},{"key":"2172_CR54","doi-asserted-by":"publisher","first-page":"4716","DOI":"10.1109\/TIP.2023.3298536","volume":"32","author":"X Yu","year":"2023","unstructured":"Yu, X., Xu, L., Li, J., Ji, X.: Magconv: Mask-guided convolution for image inpainting. IEEE Trans. Image Process. 32, 4716\u20134727 (2023)","journal-title":"IEEE Trans. Image Process."},{"key":"2172_CR55","doi-asserted-by":"publisher","first-page":"6332","DOI":"10.1109\/TIP.2023.3298560","volume":"32","author":"Y Deng","year":"2023","unstructured":"Deng, Y., Hui, S., Zhou, S., Huang, W., Wang, J.: Context adaptive network for image inpainting. IEEE Trans. Image Process. 32, 6332\u20136345 (2023)","journal-title":"IEEE Trans. Image Process."},{"key":"2172_CR56","doi-asserted-by":"publisher","first-page":"9973","DOI":"10.1109\/TMM.2024.3402620","volume":"26","author":"C Liu","year":"2024","unstructured":"Liu, C., Xu, S., Peng, J., Zhang, K., Liu, D.: Toward interactive image inpainting via robust sketch refinement. IEEE Trans. Multimedia 26, 9973\u20139987 (2024)","journal-title":"IEEE Trans. Multimedia"},{"key":"2172_CR57","doi-asserted-by":"crossref","unstructured":"Li, R., Dai, J., Qin, Q., Wang, C., Zhang, H., Yi, Y.: Texture and structure-guided dual-attention mechanism for image inpainting. ACM Trans. Multimedia Comput. Commun. Appl. 21(4) (2025)","DOI":"10.1145\/3715962"},{"key":"2172_CR58","doi-asserted-by":"crossref","unstructured":"Doersch, C., Singh, S., Gupta, A., et al. What makes Paris look like Paris? ACM Transactions on Graphics, 31(4) (2012)","DOI":"10.1145\/2185520.2185597"},{"key":"2172_CR59","unstructured":"Karras, T., Aila, T., Laine, S., et al.: Progressive growing of GANs for improved quality, stability, and variation. arXiv preprint arXiv:1710.10196 (2017)"},{"key":"2172_CR60","doi-asserted-by":"crossref","unstructured":"Zhou B, Lapedriza A, Khosla A, et al.Places: A 10 million image database for scene recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(6), 1452\u20131464 (2017)","DOI":"10.1109\/TPAMI.2017.2723009"}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-025-02172-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-025-02172-y","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-025-02172-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T11:36:01Z","timestamp":1775129761000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-025-02172-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,3]]},"references-count":60,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,4]]}},"alternative-id":["2172"],"URL":"https:\/\/doi.org\/10.1007\/s00530-025-02172-y","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,3]]},"assertion":[{"value":"8 May 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 December 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 February 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there are no Conflict of interest related to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"126"}}