{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T14:03:27Z","timestamp":1760623407324,"version":"3.40.3"},"publisher-location":"Cham","reference-count":46,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031781711"},{"type":"electronic","value":"9783031781728"}],"license":[{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"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\/978-3-031-78172-8_7","type":"book-chapter","created":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T09:46:50Z","timestamp":1733132810000},"page":"98-113","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Freestyle 3D-Aware Portrait Synthesis Based on\u00a0Compositional Generative Priors"],"prefix":"10.1007","author":[{"given":"Tianxiang","family":"Ma","sequence":"first","affiliation":[]},{"given":"Kang","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Jianxin","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Yingya","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Jing","family":"Dong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,3]]},"reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"Atzmon, M., Lipman, Y.: SAL: Sign agnostic learning of shapes from raw data. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2565\u20132574 (2020)","DOI":"10.1109\/CVPR42600.2020.00264"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Avrahami, O., Lischinski, D., Fried, O.: Blended diffusion for text-driven editing of natural images. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 18208\u201318218 (2022)","DOI":"10.1109\/CVPR52688.2022.01767"},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Brooks, T., Holynski, A., Efros, A.A.: InstructPix2Pix: learning to follow image editing instructions. arXiv (2022)","DOI":"10.1109\/CVPR52729.2023.01764"},{"key":"7_CR4","unstructured":"Brown, T., et\u00a0al.: Language models are few-shot learners. In: Advances in Neural Information Processing Systems, pp. 1877\u20131901 (2020)"},{"key":"7_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"608","DOI":"10.1007\/978-3-030-58526-6_36","volume-title":"Computer Vision \u2013 ECCV 2020","author":"R Chabra","year":"2020","unstructured":"Chabra, R., et al.: Deep local shapes: learning local SDF priors for detailed 3D reconstruction. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12374, pp. 608\u2013625. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58526-6_36"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Chan, E.R., et\u00a0al.: Efficient geometry-aware 3D generative adversarial networks. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 16123\u201316133 (2022)","DOI":"10.1109\/CVPR52688.2022.01565"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Chan, E.R., Monteiro, M., Kellnhofer, P., Wu, J., Wetzstein, G.: pi-GAN: periodic implicit generative adversarial networks for 3D-aware image synthesis. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 5799\u20135809 (2021)","DOI":"10.1109\/CVPR46437.2021.00574"},{"key":"7_CR8","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"8518","DOI":"10.1007\/978-3-031-19781-9_42","volume-title":"ECCV 2022","author":"Y Chen","year":"2022","unstructured":"Chen, Y., Wu, Q., Zheng, C., Cham, T.J., Cai, J.: Sem2NeRF: converting single-view semantic masks to neural radiance fields. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13674, pp. 8518\u20138528. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19781-9_42"},{"key":"7_CR9","doi-asserted-by":"crossref","unstructured":"Chibane, J., Alldieck, T., Pons-Moll, G.: Implicit functions in feature space for 3D shape reconstruction and completion. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 6970\u20136981 (2020)","DOI":"10.1109\/CVPR42600.2020.00700"},{"key":"7_CR10","unstructured":"Chibane, J., Pons-Moll, G., et\u00a0al.: Neural unsigned distance fields for implicit function learning. In: Advances in Neural Information Processing Systems, pp. 21638\u201321652 (2020)"},{"key":"7_CR11","unstructured":"Goodfellow, I., et al.: Generative adversarial nets. In: Advances in Neural Information Processing Systems (2014)"},{"key":"7_CR12","unstructured":"Gropp, A., Yariv, L., Haim, N., Atzmon, M., Lipman, Y.: Implicit geometric regularization for learning shapes. In: International Conference on Machine Learning, pp. 3789\u20133799 (2020)"},{"key":"7_CR13","unstructured":"Gu, J., Liu, L., Wang, P., Theobalt, C.: StyleNeRF: a style-based 3d-aware generator for high-resolution image synthesis. In: International Conference on Learning Representations (2022)"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Haque, A., Tancik, M., Efros, A.A., Holynski, A., Kanazawa, A.: Instruct-NeRF2NeRF: editing 3D scenes with instructions. arXiv (2023)","DOI":"10.1109\/ICCV51070.2023.01808"},{"key":"7_CR15","unstructured":"Hertz, A., Mokady, R., Tenenbaum, J., Aberman, K., Pritch, Y., Cohen-Or, D.: Prompt-to-prompt image editing with cross attention control. arXiv (2022)"},{"key":"7_CR16","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. In: Advances in Neural Information Processing Systems, pp. 6840\u20136851 (2020)"},{"key":"7_CR17","doi-asserted-by":"crossref","unstructured":"Jiang, C., et\u00a0al.: Local implicit grid representations for 3D scenes. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 6001\u20136010 (2020)","DOI":"10.1109\/CVPR42600.2020.00604"},{"key":"7_CR18","doi-asserted-by":"crossref","unstructured":"Kajiya, J.T., Von\u00a0Herzen, B.P.: Ray tracing volume densities. In: ACM SIGGRAPH Computer Graphics, pp. 165\u2013174 (1984)","DOI":"10.1145\/800031.808594"},{"key":"7_CR19","unstructured":"Karras, T., et al.: Alias-free generative adversarial networks. In: Advances in Neural Information Processing Systems, pp. 852\u2013863 (2021)"},{"key":"7_CR20","doi-asserted-by":"crossref","unstructured":"Karras, T., Laine, S., Aila, T.: A style-based generator architecture for generative adversarial networks. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 4401\u20134410 (2019)","DOI":"10.1109\/CVPR.2019.00453"},{"key":"7_CR21","doi-asserted-by":"crossref","unstructured":"Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., Aila, T.: Analyzing and improving the image quality of styleGAN. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 8110\u20138119 (2020)","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"7_CR22","doi-asserted-by":"crossref","unstructured":"Kawar, B., et al.: Imagic: text-based real image editing with diffusion models. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 6007\u20136017 (2023)","DOI":"10.1109\/CVPR52729.2023.00582"},{"key":"7_CR23","doi-asserted-by":"crossref","unstructured":"Ko, J., Cho, K., Choi, D., Ryoo, K., Kim, S.: 3D GAN inversion with pose optimization. In: IEEE Winter Conference on Applications of Computer Vision, pp. 2967\u20132976 (2023)","DOI":"10.1109\/WACV56688.2023.00298"},{"key":"7_CR24","unstructured":"Lin, C.Z., Lindell, D.B., Chan, E.R., Wetzstein, G.: 3D GAN inversion for controllable portrait image animation. arXiv (2022)"},{"key":"7_CR25","doi-asserted-by":"crossref","unstructured":"Liu, R., Wu, R., Van\u00a0Hoorick, B., Tokmakov, P., Zakharov, S., Vondrick, C.: Zero-1-to-3: zero-shot one image to 3D object. arXiv (2023)","DOI":"10.1109\/ICCV51070.2023.00853"},{"key":"7_CR26","doi-asserted-by":"crossref","unstructured":"Ma, T., Li, B., He, Q., Dong, J., Tan, T.: Semantic 3D-aware portrait synthesis and manipulation based on compositional neural radiance field. In: The Association for the Advancement of Artificial Intelligence (2023)","DOI":"10.1609\/aaai.v37i2.25278"},{"key":"7_CR27","unstructured":"Meng, C., et al.: SDEdit: guided image synthesis and editing with stochastic differential equations. In: International Conference on Learning Representations (2021)"},{"key":"7_CR28","doi-asserted-by":"crossref","unstructured":"Michalkiewicz, M., Pontes, J.K., Jack, D., Baktashmotlagh, M., Eriksson, A.: Implicit surface representations as layers in neural networks. In: International Conference on Computer Vision, pp. 4743\u20134752 (2019)","DOI":"10.1109\/ICCV.2019.00484"},{"key":"7_CR29","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_CR30","doi-asserted-by":"crossref","unstructured":"Niemeyer, M., Geiger, A.: Giraffe: representing scenes as compositional generative neural feature fields. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 11453\u201311464 (2021)","DOI":"10.1109\/CVPR46437.2021.01129"},{"key":"7_CR31","doi-asserted-by":"crossref","unstructured":"Niemeyer, M., Mescheder, L., Oechsle, M., Geiger, A.: Occupancy Flow: 4D reconstruction by learning particle dynamics. In: International Conference on Computer Vision, pp. 5379\u20135389 (2019)","DOI":"10.1109\/ICCV.2019.00548"},{"key":"7_CR32","doi-asserted-by":"crossref","unstructured":"Niemeyer, M., Mescheder, L., Oechsle, M., Geiger, A.: Differentiable volumetric rendering: learning implicit 3d representations without 3D supervision. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3504\u20133515 (2020)","DOI":"10.1109\/CVPR42600.2020.00356"},{"key":"7_CR33","doi-asserted-by":"crossref","unstructured":"Or-El, R., Luo, X., Shan, M., Shechtman, E., Park, J.J., Kemelmacher-Shlizerman, I.: StyleSDF: high-resolution 3d-consistent image and geometry generation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 13503\u201313513 (2022)","DOI":"10.1109\/CVPR52688.2022.01314"},{"key":"7_CR34","unstructured":"Poole, B., Jain, A., Barron, J.T., Mildenhall, B.: DreamFusion: Text-to-3D using 2D diffusion. arXiv (2022)"},{"key":"7_CR35","unstructured":"Radford, A., et\u00a0al.: Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning, pp. 8748\u20138763 (2021)"},{"key":"7_CR36","unstructured":"Ramesh, A., Dhariwal, P., Nichol, A., Chu, C., Chen, M.: Hierarchical text-conditional image generation with clip latents. arXiv (2022)"},{"key":"7_CR37","unstructured":"Ramesh, A., et al.: Zero-shot text-to-image generation. In: International Conference on Machine Learning, pp. 8821\u20138831 (2021)"},{"key":"7_CR38","doi-asserted-by":"crossref","unstructured":"Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 10684\u201310695 (2022)","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"7_CR39","unstructured":"Sitzmann, V., Zollh\u00f6fer, M., Wetzstein, G.: Scene representation networks: Continuous 3D-structure-aware neural scene representations. In: Advances in Neural Information Processing Systems, vol.\u00a032 (2019)"},{"key":"7_CR40","unstructured":"Song, J., Meng, C., Ermon, S.: Denoising diffusion implicit models. In: International Conference on Learning Representations (2021)"},{"key":"7_CR41","doi-asserted-by":"crossref","unstructured":"Sun, J., et al.: Next3D: generative neural texture rasterization for 3D-aware head avatars. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 20991\u201321002 (2023)","DOI":"10.1109\/CVPR52729.2023.02011"},{"key":"7_CR42","doi-asserted-by":"crossref","unstructured":"Sun, J., et al.: FENeRF: Face editing in neural radiance fields. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 7672\u20137682 (2022)","DOI":"10.1109\/CVPR52688.2022.00752"},{"key":"7_CR43","unstructured":"Sun, Y., He, R., Tan, W., Yan, B.: Instruct-NeuralTalker: editing audio-driven talking radiance fields with instructions. arXiv preprint arXiv:2306.10813 (2023)"},{"key":"7_CR44","doi-asserted-by":"crossref","unstructured":"Xie, J., Hao, O., Jingtan, P., Chenyang, L., Qifeng, C.: High-fidelity 3D GAN inversion by pseudo-multi-view optimization. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 321\u2013331 (2023)","DOI":"10.1109\/CVPR52729.2023.00039"},{"key":"7_CR45","doi-asserted-by":"crossref","unstructured":"Yin, F., et\u00a0al.: 3D GAN inversion with facial symmetry prior. arXiv (2022)","DOI":"10.1109\/CVPR52729.2023.00041"},{"key":"7_CR46","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: IEEE Conference on Computer Vision and Pattern Recognition, pp. 586\u2013595 (2018)","DOI":"10.1109\/CVPR.2018.00068"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78172-8_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T10:04:41Z","timestamp":1733133881000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78172-8_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,3]]},"ISBN":["9783031781711","9783031781728"],"references-count":46,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78172-8_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,12,3]]},"assertion":[{"value":"3 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","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":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}