{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T21:09:39Z","timestamp":1789160979616,"version":"build-2803163510"},"publisher-location":"Cham","reference-count":62,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032375520","type":"print"},{"value":"9783032375537","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-37553-7_13","type":"book-chapter","created":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T20:55:34Z","timestamp":1789160134000},"page":"223-240","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["AGE: Agentic Gaussian Editing in\u00a03D Scenarios"],"prefix":"10.1007","author":[{"given":"Hao","family":"Qin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tesi","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingwei","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yukai","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengxu","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Kong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,12]]},"reference":[{"key":"13_CR1","unstructured":"Bai, S., et\u00a0al.: Qwen3-vl technical report. arXiv preprint arXiv:2511.21631 (2025)"},{"key":"13_CR2","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":"13_CR3","doi-asserted-by":"crossref","unstructured":"Brooks, T., Holynski, A., Efros, A.A.: Instructpix2pix: Learning to follow image editing instructions. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 18392\u201318402 (2023)","DOI":"10.1109\/CVPR52729.2023.01764"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Chen, A., Xu, Z., Geiger, A., Yu, J., Su, H.: Tensorf: tensorial radiance fields. In: European Conference on Computer Vision, pp. 333\u2013350. Springer, Cham (2022)","DOI":"10.1007\/978-3-031-19824-3_20"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Chen, J.K., Wang, Y.X.: Proedit: Simple progression is all you need for high-quality 3d scene editing. arXiv preprint arXiv:2411.05006 (2024)","DOI":"10.52202\/079017-0160"},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"Chen, M., Laina, I., Vedaldi, A.: DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editing (2024)","DOI":"10.1007\/978-3-031-72904-1_5"},{"key":"13_CR7","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 (CVPR), pp. 21476\u201321485 (2024)","DOI":"10.1109\/CVPR52733.2024.02029"},{"key":"13_CR8","unstructured":"Chi, Y., Li, X., Huang, Z., Rehg, J.M.: Vinedresser3d: Agentic text-guided 3d editing. arXiv preprint arXiv:2602.19542 (2026)"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Ding, W., Chen, J., Chen, M., Xie, F., Mao, Q., Dames, P.: Pfea: an llm-based high-level natural language planning and feedback embodied agent for human-centered ai. arXiv preprint arXiv:2510.24109 (2025)","DOI":"10.3389\/frobt.2026.1905578"},{"key":"13_CR10","unstructured":"Dong, J., Wang, Y.X.: 3dgs-drag: Dragging gaussians for intuitive point-based 3d editing. arXiv preprint arXiv:2601.07963 (2026)"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Fang, J., Wang, J., Zhang, X., Xie, L., Tian, Q.: Gaussianeditor: editing 3d gaussians delicately with text instructions. In: CVPR (2024)","DOI":"10.1109\/CVPR52733.2024.01975"},{"key":"13_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":"13_CR13","unstructured":"Guo, D., et\u00a0al.: Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning. arXiv preprint arXiv:2501.12948 (2025)"},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Haque, A., Tancik, M., Efros, A.A., Holynski, A., Kanazawa, A.: Instruct-nerf2nerf: editing 3d scenes with instructions. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 19740\u201319750 (2023)","DOI":"10.1109\/ICCV51070.2023.01808"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Haque, A., Tancik, M., Efros, A.A., Holynski, A., Kanazawa, A.: Instruct-NeRF2NeRF: editing 3D scenes with instructions (2023)","DOI":"10.1109\/ICCV51070.2023.01808"},{"key":"13_CR16","unstructured":"He, S., et al.: A survey on 3d gaussian splatting applications: Segmentation, editing, and generation. arXiv preprint arXiv:2508.09977 (2025)"},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"Huang, S.Y., Chou, Z.T., Wang, Y.C.F.: 3d gaussian inpainting with depth-guided cross-view consistency. In: Proceedings of the Computer Vision and Pattern Recognition Conference, pp. 26704\u201326713 (2025)","DOI":"10.1109\/CVPR52734.2025.02487"},{"key":"13_CR18","unstructured":"Karpas, E., et al.: Mrkl systems: a modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning. arXiv preprint arXiv:2205.00445 (2022)"},{"issue":"4","key":"13_CR19","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1145\/3592433","volume":"42","author":"B Kerbl","year":"2023","unstructured":"Kerbl, B., Kopanas, G., Leimk\u00fchler, T., Drettakis, G., et al.: 3d gaussian splatting for real-time radiance field rendering. ACM Trans. Graph. 42(4), 139\u20131 (2023)","journal-title":"ACM Trans. Graph."},{"key":"13_CR20","unstructured":"Kirillov, A., et al.: Segment anything. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 4015\u20134026 (2023)"},{"key":"13_CR21","unstructured":"Kulkarni, M.: Agent-s: Llm agentic workflow to automate standard operating procedures. arXiv preprint arXiv:2503.15520 (2025)"},{"key":"13_CR22","doi-asserted-by":"crossref","unstructured":"Kwon, W., et al.: Efficient memory management for large language model serving with pagedattention. In: Proceedings of the 29th Symposium on Operating Systems Principles, pp. 611\u2013626 (2023)","DOI":"10.1145\/3600006.3613165"},{"key":"13_CR23","unstructured":"Labs, B.F., et\u00a0al.: Flux. 1 kontext: Flow matching for in-context image generation and editing in latent space. arXiv preprint arXiv:2506.15742 (2025)"},{"key":"13_CR24","unstructured":"Lewis, P., et al.: Retrieval-augmented generation for knowledge-intensive NLP tasks: Adv. Neural. Inf. Process. Syst. 33, 9459\u20139474 (2020)"},{"key":"13_CR25","doi-asserted-by":"publisher","first-page":"51991","DOI":"10.52202\/075280-2264","volume":"36","author":"G Li","year":"2023","unstructured":"Li, G., Hammoud, H., Itani, H., Khizbullin, D., Ghanem, B.: Camel: communicative agents for \u201cmind\u2019\u2019 exploration of large language model society. Adv. Neural. Inf. Process. Syst. 36, 51991\u201352008 (2023)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"13_CR26","doi-asserted-by":"crossref","unstructured":"Li, L., et al.: Voxhammer: Training-free precise and coherent 3d editing in native 3d space (2025). https:\/\/arxiv.org\/abs\/2508.19247","DOI":"10.1109\/3DV69130.2026.00126"},{"key":"13_CR27","unstructured":"Li, Z., et al.: Autoflow: Automated workflow generation for large language model agents. arXiv preprint arXiv:2407.12821 (2024)"},{"key":"13_CR28","unstructured":"Liu, B., et al.: Llm+ p: Empowering large language models with optimal planning proficiency, 2023 (2024). https:\/\/arxiv.org\/abs\/2304.11477"},{"key":"13_CR29","unstructured":"Liu, Z., et al.: Infusion: Inpainting 3d gaussians via learning depth completion from diffusion prior. arXiv preprint arXiv:2404.11613 (2024)"},{"key":"13_CR30","doi-asserted-by":"crossref","unstructured":"Ma, S., Guo, Y., Su, J., Huang, Q., Zhou, Z., Wang, Y.: Talk2image: a multi-agent system for multi-turn image generation and editing. arXiv preprint arXiv:2508.06916 (2025)","DOI":"10.1609\/aaai.v40i38.40519"},{"key":"13_CR31","doi-asserted-by":"publisher","first-page":"46534","DOI":"10.52202\/075280-2019","volume":"36","author":"A Madaan","year":"2023","unstructured":"Madaan, A., et al.: Self-refine: iterative refinement with self-feedback. Adv. Neural. Inf. Process. Syst. 36, 46534\u201346594 (2023)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"13_CR32","unstructured":"Mialon, G., et al.: Augmented language models: a survey. arXiv preprint arXiv:2302.07842 (2023)"},{"key":"13_CR33","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":"1","key":"13_CR34","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1145\/3503250","volume":"65","author":"B Mildenhall","year":"2021","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. Commun. ACM 65(1), 99\u2013106 (2021)","journal-title":"Commun. ACM"},{"issue":"4","key":"13_CR35","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":"13_CR36","unstructured":"Packer, C., Fang, V., Patil, S., Lin, K., Wooders, S., Gonzalez, J.: Memgpt: towards llms as operating systems (2023)"},{"key":"13_CR37","doi-asserted-by":"crossref","unstructured":"Park, J.S., O\u2019Brien, J., Cai, C.J., Morris, M.R., Liang, P., Bernstein, M.S.: Generative agents: Interactive simulacra of human behavior. In: Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, pp. 1\u201322 (2023)","DOI":"10.1145\/3586183.3606763"},{"key":"13_CR38","doi-asserted-by":"crossref","unstructured":"Qian, C., et\u00a0al.: Chatdev: communicative agents for software development. In: Proceedings of the 62nd Annual meeting of the Association for Computational Linguistics (volume 1: Long papers), pp. 15174\u201315186 (2024)","DOI":"10.18653\/v1\/2024.acl-long.810"},{"key":"13_CR39","unstructured":"Qin, H., Sun, Y., Wang, M., Kong, M., Lu, M., Zhu, Q.: Variation-aware flexible 3d gaussian editing. arXiv preprint arXiv:2602.11638 (2026)"},{"key":"13_CR40","doi-asserted-by":"crossref","unstructured":"Qu, Y., et al.: Drag your gaussian: Effective drag-based editing with score distillation for 3d gaussian splatting. arXiv preprint arXiv:2501.18672 (2025)","DOI":"10.1145\/3721238.3730600"},{"key":"13_CR41","doi-asserted-by":"publisher","first-page":"68539","DOI":"10.52202\/075280-2997","volume":"36","author":"T Schick","year":"2023","unstructured":"Schick, T., et al.: Toolformer: language models can teach themselves to use tools. Adv. Neural. Inf. Process. Syst. 36, 68539\u201368551 (2023)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"13_CR42","doi-asserted-by":"publisher","first-page":"38154","DOI":"10.52202\/075280-1657","volume":"36","author":"Y Shen","year":"2023","unstructured":"Shen, Y., Song, K., Tan, X., Li, D., Lu, W., Zhuang, Y.: Hugginggpt: solving AI tasks with chatgpt and its friends in hugging face. Adv. Neural. Inf. Process. Syst. 36, 38154\u201338180 (2023)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"13_CR43","doi-asserted-by":"publisher","first-page":"8634","DOI":"10.52202\/075280-0377","volume":"36","author":"N Shinn","year":"2023","unstructured":"Shinn, N., Cassano, F., Gopinath, A., Narasimhan, K., Yao, S.: Reflexion: language agents with verbal reinforcement learning. Adv. Neural. Inf. Process. Syst. 36, 8634\u20138652 (2023)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"13_CR44","unstructured":"Team, G., et al.: Gemini: a family of highly capable multimodal models. arXiv preprint arXiv:2312.11805 (2023)"},{"key":"13_CR45","unstructured":"Vachha, C., Haque, A.: Instruct-gs2gs: editing 3d gaussian splats with instructions 6, 15 (2024). https:\/\/instruct-gs2gs.github.io"},{"key":"13_CR46","unstructured":"Wang, J., Duan, Z.: Agent ai with langgraph: A modular framework for enhancing machine translation using large language models. arXiv preprint arXiv:2412.03801 (2024)"},{"key":"13_CR47","doi-asserted-by":"crossref","unstructured":"Wang, J., Fang, J., Zhang, X., Xie, L., Tian, Q.: Gaussianeditor: editing 3d gaussians delicately with text instructions. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 20902\u201320911 (2024)","DOI":"10.1109\/CVPR52733.2024.01975"},{"key":"13_CR48","doi-asserted-by":"crossref","unstructured":"Wang, S., Zhang, S., Millerdurai, C., Westermann, R., Stricker, D., Pagani, A.: Inpaint360gs: efficient object-aware 3d inpainting via gaussian splatting for 360deg scenes. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 117\u2013127 (2026)","DOI":"10.1109\/WACV61042.2026.00020"},{"key":"13_CR49","doi-asserted-by":"crossref","unstructured":"Wang, Y., Yi, X., Wu, Z., Zhao, N., Chen, L., Zhang, H.: View-consistent 3D editing with gaussian splatting (2024)","DOI":"10.1007\/978-3-031-72761-0_23"},{"key":"13_CR50","doi-asserted-by":"crossref","unstructured":"Wang, Y., Yi, X., Wu, Z., Zhao, N., Chen, L., Zhang, H.: View-consistent 3d editing with gaussian splatting. In: European Conference on Computer Vision, pp. 404\u2013420. Springer, Cham (2024)","DOI":"10.1007\/978-3-031-72761-0_23"},{"key":"13_CR51","doi-asserted-by":"publisher","first-page":"24824","DOI":"10.52202\/068431-1800","volume":"35","author":"J Wei","year":"2022","unstructured":"Wei, J., et al.: Chain-of-thought prompting elicits reasoning in large language models. Adv. Neural. Inf. Process. Syst. 35, 24824\u201324837 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"13_CR52","doi-asserted-by":"crossref","unstructured":"Wu, J., et al.: Gaussctrl: multi-view consistent text-driven 3d gaussian splatting editing. In: European Conference on Computer Vision, pp. 55\u201371. Springer, Cham (2024)","DOI":"10.1007\/978-3-031-72630-9_4"},{"key":"13_CR53","doi-asserted-by":"crossref","unstructured":"Wu, J., et al.: GaussCtrl: multi-view consistent text-driven 3D gaussian splatting editing (2024)","DOI":"10.1007\/978-3-031-72630-9_4"},{"key":"13_CR54","unstructured":"Wu, Q., et\u00a0al.: Autogen: Enabling next-gen LLM applications via multi-agent conversations. In: First Conference on Language Modeling (2024)"},{"key":"13_CR55","unstructured":"Xu, T., Chen, J., Chen, P., Zhang, Y., Yu, J., Yang, W.: Tiger: text-instructed 3d gaussian retrieval and coherent editing. arXiv preprint arXiv:2405.14455 (2024)"},{"key":"13_CR56","unstructured":"Yan, Z., et al.: 3dsceneeditor: controllable 3d scene editing with gaussian splatting. arXiv preprint arXiv:2412.01583 (2024)"},{"key":"13_CR57","unstructured":"Yao, S., et al.: React: synergizing reasoning and acting in language models. In: The Eleventh International Conference on Learning Representations (2022)"},{"key":"13_CR58","doi-asserted-by":"crossref","unstructured":"Ye, M., Danelljan, M., Yu, F., Ke, L.: Gaussian grouping: segment and edit anything in 3d scenes. In: European Conference on Computer Vision, pp. 162\u2013179. Springer, Cham (2024)","DOI":"10.1007\/978-3-031-73397-0_10"},{"key":"13_CR59","unstructured":"Ye, R., et\u00a0al.: Agent banana: High-fidelity image editing with agentic thinking and tooling. arXiv preprint arXiv:2602.09084 (2026)"},{"key":"13_CR60","doi-asserted-by":"crossref","unstructured":"Yi, R., Tian, H., Gu, Z., Lai, Y.K., Rosin, P.L.: Towards artistic image aesthetics assessment: a large-scale dataset and a new method. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 22388\u201322397 (2023)","DOI":"10.1109\/CVPR52729.2023.02144"},{"key":"13_CR61","doi-asserted-by":"crossref","unstructured":"Zhou, Z., Deng, Y., He, X., Dong, W., Tang, F.: Multi-turn consistent image editing. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 15792\u201315801 (2025)","DOI":"10.1109\/ICCV51701.2025.01465"},{"issue":"4","key":"13_CR62","doi-asserted-by":"publisher","first-page":"2004701","DOI":"10.1007\/s11704-025-41176-9","volume":"20","author":"CY Zhu","year":"2026","unstructured":"Zhu, C.Y., Liu, X.Y., Xu, K., Yi, R.J.: A survey on 3d editing based on nerf and 3dgs. Front. Comp. Sci. 20(4), 2004701 (2026)","journal-title":"Front. Comp. Sci."}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2026"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-37553-7_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T20:55:47Z","timestamp":1789160147000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-37553-7_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032375520","9783032375537"],"references-count":62,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-37553-7_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"12 September 2026","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":"Malm\u00f6","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}