{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T21:40:15Z","timestamp":1732830015059,"version":"3.30.0"},"publisher-location":"Cham","reference-count":59,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031729973"},{"type":"electronic","value":"9783031729980"}],"license":[{"start":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T00:00:00Z","timestamp":1727654400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T00:00:00Z","timestamp":1727654400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-72998-0_7","type":"book-chapter","created":{"date-parts":[[2024,9,29]],"date-time":"2024-09-29T18:01:58Z","timestamp":1727632918000},"page":"109-126","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Single-Mask Inpainting for\u00a0Voxel-Based Neural Radiance Fields"],"prefix":"10.1007","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-2489-4497","authenticated-orcid":false,"given":"Jiafu","family":"Chen","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-1104-3239","authenticated-orcid":false,"given":"Tianyi","family":"Chu","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-2894-9456","authenticated-orcid":false,"given":"Jiakai","family":"Sun","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-7994-6725","authenticated-orcid":false,"given":"Wei","family":"Xing","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-4791-454X","authenticated-orcid":false,"given":"Lei","family":"Zhao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,9,30]]},"reference":[{"issue":"3","key":"7_CR1","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1145\/1531326.1531330","volume":"28","author":"C Barnes","year":"2009","unstructured":"Barnes, C., Shechtman, E., Finkelstein, A., Goldman, D.B.: PatchMatch: a randomized correspondence algorithm for structural image editing. ACM Trans. Graph. 28(3), 24 (2009)","journal-title":"ACM Trans. Graph."},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Barron, J.T., Mildenhall, B., Tancik, M., Hedman, P., Martin-Brualla, R., Srinivasan, P.P.: Mip-NeRF: a multiscale representation for anti-aliasing neural radiance fields. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 5855\u20135864 (2021)","DOI":"10.1109\/ICCV48922.2021.00580"},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Barron, J.T., Mildenhall, B., Verbin, D., Srinivasan, P.P., Hedman, P.: Mip-NeRF 360: unbounded anti-aliased neural radiance fields. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5470\u20135479 (2022)","DOI":"10.1109\/CVPR52688.2022.00539"},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Barron, J.T., Mildenhall, B., Verbin, D., Srinivasan, P.P., Hedman, P.: Zip-NeRF: anti-aliased grid-based neural radiance fields. In: ICCV (2023)","DOI":"10.1109\/ICCV51070.2023.01804"},{"key":"7_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1007\/978-3-031-19824-3_20","volume-title":"Computer Vision \u2013 ECCV 2022","author":"A Chen","year":"2022","unstructured":"Chen, A., Xu, Z., Geiger, A., Yu, J., Su, H.: TensoRF: tensorial radiance fields. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13692, pp. 333\u2013350. Springer, Cham (2022)"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Chen, A., et al.: MVSNeRF: fast generalizable radiance field reconstruction from multi-view stereo. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 14124\u201314133 (2021)","DOI":"10.1109\/ICCV48922.2021.01386"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Chen, J., et al.: PNeSM: arbitrary 3D scene stylization via prompt-based neural style mapping. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a038, pp. 1091\u20131099 (2024)","DOI":"10.1609\/aaai.v38i2.27870"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Chen, Y., et al.: GaussianEditor: swift and controllable 3D editing with gaussian splatting. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 21476\u201321485 (2024)","DOI":"10.1109\/CVPR52733.2024.02029"},{"key":"7_CR9","doi-asserted-by":"crossref","unstructured":"Cheng, B., Liu, Z., Peng, Y., Lin, Y.: General image-to-image translation with one-shot image guidance. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 22736\u201322746 (2023)","DOI":"10.1109\/ICCV51070.2023.02078"},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Chu, T., et al.: Rethinking fast Fourier convolution in image inpainting. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 23195\u201323205 (2023)","DOI":"10.1109\/ICCV51070.2023.02120"},{"key":"7_CR11","doi-asserted-by":"crossref","unstructured":"Deng, K., Liu, A., Zhu, J.Y., Ramanan, D.: Depth-supervised NeRF: fewer views and faster training for free. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12882\u201312891 (2022)","DOI":"10.1109\/CVPR52688.2022.01254"},{"key":"7_CR12","doi-asserted-by":"crossref","unstructured":"Fridovich-Keil, S., Yu, A., Tancik, M., Chen, Q., Recht, B., Kanazawa, A.: Plenoxels: radiance fields without neural networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5501\u20135510 (2022)","DOI":"10.1109\/CVPR52688.2022.00542"},{"key":"7_CR13","unstructured":"Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: GANs trained by a two time-scale update rule converge to a local nash equilibrium. Adva. Neural Inf. Process. Syst.30 (2017)"},{"key":"7_CR14","first-page":"6840","volume":"33","author":"J Ho","year":"2020","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Adv. Neural. Inf. Process. Syst. 33, 6840\u20136851 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"4","key":"7_CR15","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":"7_CR16","doi-asserted-by":"crossref","unstructured":"Jain, A., Tancik, M., Abbeel, P.: Putting nerf on a diet: semantically consistent few-shot view synthesis. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 5885\u20135894 (2021)","DOI":"10.1109\/ICCV48922.2021.00583"},{"key":"7_CR17","doi-asserted-by":"crossref","unstructured":"Ke, J., Wang, Q., Wang, Y., Milanfar, P., Yang, F.: MUSIQ: multi-scale image quality transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 5148\u20135157 (2021)","DOI":"10.1109\/ICCV48922.2021.00510"},{"key":"7_CR18","doi-asserted-by":"crossref","unstructured":"Kim, M., Seo, S., Han, B.: InfoNeRF: ray entropy minimization for few-shot neural volume rendering. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12912\u201312921 (2022)","DOI":"10.1109\/CVPR52688.2022.01257"},{"key":"7_CR19","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1016\/j.neucom.2022.11.074","volume":"520","author":"A Li","year":"2023","unstructured":"Li, A., Zhao, L., Zuo, Z., Wang, Z., Xing, W., Lu, D.: MIGT: multi-modal image inpainting guided with text. Neurocomputing 520, 376\u2013385 (2023)","journal-title":"Neurocomputing"},{"key":"7_CR20","doi-asserted-by":"crossref","unstructured":"Lin, C.H., et al.: Magic3D: high-resolution text-to-3D content creation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 300\u2013309 (2023)","DOI":"10.1109\/CVPR52729.2023.00037"},{"key":"7_CR21","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 (ECCV), pp. 85\u2013100 (2018)","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"7_CR22","unstructured":"Liu, H.K., Shen, I., Chen, B.Y., et\u00a0al.: NeRF-in: free-form nerf inpainting with RGB-D priors. arXiv preprint arXiv:2206.04901 (2022)"},{"key":"7_CR23","doi-asserted-by":"crossref","unstructured":"Liu, H., Wan, Z., Huang, W., Song, Y., Han, X., Liao, J.: PD-GAN: probabilistic diverse GAN for image inpainting. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9371\u20139381 (2021)","DOI":"10.1109\/CVPR46437.2021.00925"},{"key":"7_CR24","doi-asserted-by":"crossref","unstructured":"Liu, S., Zhang, X., Zhang, Z., Zhang, R., Zhu, J.Y., Russell, B.: Editing conditional radiance fields. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 5773\u20135783 (2021)","DOI":"10.1109\/ICCV48922.2021.00572"},{"key":"7_CR25","doi-asserted-by":"crossref","unstructured":"Metzer, G., Richardson, E., Patashnik, O., Giryes, R., Cohen-Or, D.: Latent-nerf for shape-guided generation of 3D shapes and textures. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12663\u201312673 (2023)","DOI":"10.1109\/CVPR52729.2023.01218"},{"key":"7_CR26","doi-asserted-by":"crossref","unstructured":"Mikaeili, A., Perel, O., Safaee, M., Cohen-Or, D., Mahdavi-Amiri, A.: SKED: sketch-guided text-based 3D editing. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 14607\u201314619 (2023)","DOI":"10.1109\/ICCV51070.2023.01343"},{"issue":"4","key":"7_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3306346.3322980","volume":"38","author":"B Mildenhall","year":"2019","unstructured":"Mildenhall, B., et al.: Local light field fusion: practical view synthesis with prescriptive sampling guidelines. ACM Trans. Graph. (TOG) 38(4), 1\u201314 (2019)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"7_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1007\/978-3-030-58452-8_24","volume-title":"Computer Vision \u2013 ECCV 2020","author":"B Mildenhall","year":"2020","unstructured":"Mildenhall, B., Srinivasan, P.P., Tancik, M., Barron, J.T., Ramamoorthi, R., Ng, R.: NeRF: representing scenes as neural radiance fields for view synthesis. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12346, pp. 405\u2013421. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58452-8_24"},{"key":"7_CR29","doi-asserted-by":"crossref","unstructured":"Mirzaei, A., et al.: Reference-guided controllable inpainting of neural radiance fields. In: ICCV (2023)","DOI":"10.1109\/ICCV51070.2023.01633"},{"key":"7_CR30","doi-asserted-by":"crossref","unstructured":"Mirzaei, A., et al.: Spin-NeRF: multiview segmentation and perceptual inpainting with neural radiance fields. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 20669\u201320679 (2023)","DOI":"10.1109\/CVPR52729.2023.01980"},{"issue":"4","key":"7_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3528223.3530127","volume":"41","author":"T M\u00fcller","year":"2022","unstructured":"M\u00fcller, T., Evans, A., Schied, C., Keller, A.: Instant neural graphics primitives with a multiresolution hash encoding. ACM Trans. Graph. (ToG) 41(4), 1\u201315 (2022)","journal-title":"ACM Trans. Graph. (ToG)"},{"key":"7_CR32","unstructured":"Nazeri, K., Ng, E., Joseph, T., Qureshi, F.Z., Ebrahimi, M.: EdgeConnect: generative image inpainting with adversarial edge learning. arXiv preprint arXiv:1901.00212 (2019)"},{"key":"7_CR33","doi-asserted-by":"crossref","unstructured":"Niemeyer, M., Barron, J.T., Mildenhall, B., Sajjadi, M.S., Geiger, A., Radwan, N.: RegNeRF: regularizing neural radiance fields for view synthesis from sparse inputs. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5480\u20135490 (2022)","DOI":"10.1109\/CVPR52688.2022.00540"},{"key":"7_CR34","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"},{"issue":"5","key":"7_CR35","doi-asserted-by":"publisher","first-page":"1415","DOI":"10.1016\/j.patcog.2012.11.011","volume":"46","author":"S Pertuz","year":"2013","unstructured":"Pertuz, S., Puig, D., Garcia, M.A.: Analysis of focus measure operators for shape-from-focus. Pattern Recogn. 46(5), 1415\u20131432 (2013)","journal-title":"Pattern Recogn."},{"key":"7_CR36","unstructured":"Poole, B., Jain, A., Barron, J.T., Mildenhall, B.: DreamFusion: text-to-3D using 2D diffusion. In: The Eleventh International Conference on Learning Representations (2022)"},{"key":"7_CR37","doi-asserted-by":"crossref","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, pp. 10684\u201310695 (2022)","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"7_CR38","doi-asserted-by":"crossref","unstructured":"Sagong, M.C., Shin, Y.G., Kim, S.W., Park, S., Ko, S.J.: PEPSI: fast image inpainting with parallel decoding network. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11360\u201311368 (2019)","DOI":"10.1109\/CVPR.2019.01162"},{"issue":"1","key":"7_CR39","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1109\/TNNLS.2020.2978501","volume":"32","author":"YG Shin","year":"2020","unstructured":"Shin, Y.G., Sagong, M.C., Yeo, Y.J., Kim, S.W., Ko, S.J.: PEPSI++: fast and lightweight network for image inpainting. IEEE Trans. Neural Netw. Learn. Syst. 32(1), 252\u2013265 (2020)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"7_CR40","doi-asserted-by":"crossref","unstructured":"Simakov, D., Caspi, Y., Shechtman, E., Irani, M.: Summarizing visual data using bidirectional similarity. In: 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.\u00a01\u20138. IEEE (2008)","DOI":"10.1109\/CVPR.2008.4587842"},{"key":"7_CR41","unstructured":"Sohl-Dickstein, J., Weiss, E., Maheswaranathan, N., Ganguli, S.: Deep unsupervised learning using nonequilibrium thermodynamics. In: International Conference on Machine Learning, pp. 2256\u20132265. PMLR (2015)"},{"key":"7_CR42","doi-asserted-by":"crossref","unstructured":"Sun, C., Sun, M., Chen, H.T.: Direct voxel grid optimization: super-fast convergence for radiance fields reconstruction. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5459\u20135469 (2022)","DOI":"10.1109\/CVPR52688.2022.00538"},{"key":"7_CR43","doi-asserted-by":"crossref","unstructured":"Sun, J., et al.: VGOS: voxel grid optimization for view synthesis from sparse inputs. arXiv preprint arXiv:2304.13386 (2023)","DOI":"10.24963\/ijcai.2023\/157"},{"key":"7_CR44","doi-asserted-by":"crossref","unstructured":"Suvorov, R., et al.: 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"},{"key":"7_CR45","doi-asserted-by":"crossref","unstructured":"Wang, C., Chai, M., He, M., Chen, D., Liao, J.: CLIP-NeRF: text-and-image driven manipulation of neural radiance fields. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3835\u20133844 (2022)","DOI":"10.1109\/CVPR52688.2022.00381"},{"key":"7_CR46","doi-asserted-by":"crossref","unstructured":"Wang, D., Zhang, T., Abboud, A., S\u00fcsstrunk, S.: InpaintNeRF360: text-guided 3D inpainting on unbounded neural radiance fields. arXiv preprint arXiv:2305.15094 (2023)","DOI":"10.1109\/CVPR52733.2024.01205"},{"key":"7_CR47","doi-asserted-by":"crossref","unstructured":"Weder, S., et al.: Removing objects from neural radiance fields. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16528\u201316538 (2023)","DOI":"10.1109\/CVPR52729.2023.01586"},{"key":"7_CR48","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/978-3-031-19812-0_12","volume-title":"Computer Vision \u2013 ECCV 2022","author":"Q Wu","year":"2022","unstructured":"Wu, Q., et al.: Object-compositional neural implicit surfaces. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13687, pp. 197\u2013213. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19812-0_12"},{"key":"7_CR49","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"736","DOI":"10.1007\/978-3-031-20047-2_42","volume-title":"Computer Vision \u2013 ECCV 2022","author":"D Xu","year":"2022","unstructured":"Xu, D., Jiang, Y., Wang, P., Fan, Z., Shi, H., Wang, Z.: SinNeRF: training neural radiance fields on complex scenes from a single image. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13682, pp. 736\u2013753. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-20047-2_42"},{"key":"7_CR50","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1007\/978-3-031-19787-1_34","volume-title":"Computer Vision \u2013 ECCV 2022","author":"B Yang","year":"2022","unstructured":"Yang, B., et al.: NeuMesh: learning disentangled neural mesh-based implicit field for geometry and texture editing. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13676, pp. 597\u2013614. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19787-1_34"},{"key":"7_CR51","doi-asserted-by":"crossref","unstructured":"Yang, B., et al.: Learning object-compositional neural radiance field for editable scene rendering. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 13779\u201313788 (2021)","DOI":"10.1109\/ICCV48922.2021.01352"},{"key":"7_CR52","doi-asserted-by":"crossref","unstructured":"Yu, A., Ye, V., Tancik, M., Kanazawa, A.: PixelNeRF: neural radiance fields from one or few images. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4578\u20134587 (2021)","DOI":"10.1109\/CVPR46437.2021.00455"},{"key":"7_CR53","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"},{"key":"7_CR54","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":"7_CR55","doi-asserted-by":"crossref","unstructured":"Yuan, Y.J., Sun, Y.T., Lai, Y.K., Ma, Y., Jia, R., Gao, L.: NeRF-editing: geometry editing of neural radiance fields. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 18353\u201318364 (2022)","DOI":"10.1109\/CVPR52688.2022.01781"},{"key":"7_CR56","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 586\u2013595 (2018)","DOI":"10.1109\/CVPR.2018.00068"},{"key":"7_CR57","doi-asserted-by":"crossref","unstructured":"Zhao, L., et al.: UCTGAN: diverse image inpainting based on unsupervised cross-space translation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5741\u20135750 (2020)","DOI":"10.1109\/CVPR42600.2020.00578"},{"key":"7_CR58","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":"7_CR59","doi-asserted-by":"crossref","unstructured":"Zhou, X., He, Y., Yu, F.R., Li, J., Li, Y.: RePaint-NeRF: NeRF editting via semantic masks and diffusion models. In: IJCAI (2023)","DOI":"10.24963\/ijcai.2023\/201"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-72998-0_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T21:27:55Z","timestamp":1732829275000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72998-0_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,30]]},"ISBN":["9783031729973","9783031729980"],"references-count":59,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72998-0_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,9,30]]},"assertion":[{"value":"30 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2024.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}