{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T05:08:06Z","timestamp":1779944886054,"version":"3.53.1"},"reference-count":94,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T00:00:00Z","timestamp":1773964800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T00:00:00Z","timestamp":1773964800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,3,20]]},"DOI":"10.1109\/3dv69130.2026.00132","type":"proceedings-article","created":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T19:40:49Z","timestamp":1779910849000},"page":"1368-1379","source":"Crossref","is-referenced-by-count":0,"title":["Text-to-3D Generation Using Jensen-Shannon Score Distillation"],"prefix":"10.1109","author":[{"given":"Khoi","family":"Do","sequence":"first","affiliation":[{"name":"Trinity College,Dublin,Ireland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Binh-Son","family":"Hua","sequence":"additional","affiliation":[{"name":"Trinity College,Dublin,Ireland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"141","article-title":"How does loss function affect generalization performance of deep learning? application to human age estimation","volume-title":"Proceedings of the 38th International Conference on Machine Learning","author":"Akbari","year":"2021"},{"key":"ref2","article-title":"Towards principled methods for training generative adversarial networks","volume-title":"International Conference on Learning Representations","author":"Arjovsky","year":"2017"},{"key":"ref3","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proceedings of the 34th International Conference on Machine Learning","author":"Arjovsky","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00506"},{"key":"ref5","author":"Armandpour","year":"2024","journal-title":"Re-imagine the negative prompt algorithm for 2d\/3d diffusion"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00266"},{"key":"ref7","volume-title":"Pattern Recognition and Machine Learning (Information Science and Statistics)","author":"Bishop","year":"2006"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00951"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00974"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.52202\/079017-1584"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00468"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2146"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.52202\/075280-2571"},{"key":"ref14","first-page":"10647","article-title":"Constraining variational inference with geometric jensen-shannon divergence","author":"Deasy","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01291"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2003.813506"},{"key":"ref17","first-page":"30284","article-title":"Generalized jensenshannon divergence loss for learning with noisy labels","volume-title":"Advances in Neural Information Processing Systems","author":"Englesson","year":"2021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72630-9_23"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.01725"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00888"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref22","article-title":"Improved training of wasserstein gans","volume-title":"Advances in Neural Information Processing Systems","author":"Gulrajani","year":"2017"},{"key":"ref23","volume-title":"threestudio: A unified framework for 3d content generation","author":"Guo","year":"2023"},{"key":"ref24","author":"He","year":"2023","journal-title":"T\u00b3bench: Benchmarking current progress in text-to-3d generation"},{"issue":"2","key":"ref25","first-page":"199","volume":"36","author":"Hill","year":"2007","journal-title":"The hollow-face illusion: Object-specific knowledge, general assumptions or properties of the stimulus? Perception"},{"key":"ref26","article-title":"Classifier-free diffusion guidance","volume-title":"NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications","author":"Ho","year":"2021"},{"key":"ref27","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Advances in Neural Information Processing Systems","author":"Ho","year":"2020"},{"key":"ref28","article-title":"MGAN: Training generative adversarial nets with multiple generators","volume-title":"International Conference on Learning Representations","author":"Hoang","year":"2018"},{"key":"ref29","article-title":"LoRA: Low-rank adaptation of large language models","volume-title":"International Conference on Learning Representations","author":"Edward","year":"2022"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00094"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73347-5_25"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3592433"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73007-8_23"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/0-8176-4441-5"},{"key":"ref35","first-page":"953","article-title":"Towards better understanding of training certifiably robust models against adversarial examples","volume-title":"Advances in Neural Information Processing Systems","author":"Lee","year":"2021"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.00274"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.01027"},{"key":"ref38","article-title":"Blip2: bootstrapping language-image pre-training with frozen image encoders and large language models","volume-title":"Proceedings of the 40th International Conference on Machine Learning","author":"Li","year":"2023"},{"key":"ref39","article-title":"Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model","volume-title":"The International Conference on Learning Representations","author":"Li","year":"2024"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00623"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/18.61115"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.26062"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01645"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0818"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72667-5_1"},{"key":"ref46","first-page":"3481","article-title":"Which training methods for GANs do actually converge?","volume-title":"Proceedings of the 35th International Conference on Machine Learning","author":"Mescheder","year":"2018"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01218"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00585"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01098"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2013.2260538"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3390\/e21050485"},{"key":"ref53","author":"Nielsen","year":"2011","journal-title":"Statistical exponential families: A digest with flash cards"},{"key":"ref54","article-title":"fgan: Training generative neural samplers using variational divergence minimization","author":"Nowozin","year":"2016","journal-title":"Advances in Neural Information Processing Systems. Curran Associates"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/122"},{"key":"ref56","article-title":"Dreamfusion: Text-to-3d using 2d diffusion","volume-title":"The International Conference on Learning Representations","author":"Poole","year":"2023"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00946"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref59","article-title":"MVDream: Multi-view diffusion for 3d generation","volume-title":"The International Conference on Learning Representations","author":"Shi","year":"2024"},{"key":"ref60","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"Proceedings of the 32nd International Conference on International Conference on Machine Learning - Volume 37","author":"Sohl-Dickstein","year":"2015"},{"key":"ref61","article-title":"Denoising diffusion implicit models","volume-title":"International Conference on Learning Representations","author":"Song","year":"2021"},{"key":"ref62","article-title":"Generative modeling by estimating gradients of the data distribution","volume-title":"Advances in Neural Information Processing Systems","author":"Song","year":"2019"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref64","author":"Tang","year":"2024","journal-title":"Stable score distillation for high-quality 3d generation"},{"key":"ref65","article-title":"Dreamgaussian: Generative gaussian splatting for efficient 3d content creation","volume-title":"The International Conference on Learning Representations","author":"Tang","year":"2024"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73235-5_1"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.129115"},{"key":"ref68","first-page":"13","volume-title":"Entropy, Relative Entropy, and Mutual Information, chapter 2","author":"Thomas","year":"2005"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00341"},{"key":"ref70","author":"Tran","year":"2024","journal-title":"Modedreamer: Mode guiding score distillation for text-to-3d generation using reference image prompts"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73226-3_13"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73113-6_24"},{"key":"ref73","article-title":"Don\u2019t play favorites: Minority guidance for diffusion models","author":"Um","year":"2024","journal-title":"ICLR"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00971"},{"key":"ref75","article-title":"Variational inference with tail-adaptive f-divergence","volume-title":"Advances in Neural Information Processing Systems","author":"Wang","year":"2018"},{"key":"ref76","article-title":"Steindreamer: Variance reduction for text-to-3d score distillation via stein identity","author":"Wang","year":"2023","journal-title":"arXiv preprint arXiv"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00863"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.52202\/075280-0368"},{"key":"ref79","article-title":"Diffusion-GAN: Training GANs with diffusion","volume-title":"The International Conference on Learning Representations","author":"Wang","year":"2023"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00777"},{"key":"ref81","article-title":"Improving the improved training of wasserstein GANs","volume-title":"International Conference on Learning Representations","author":"Wei","year":"2018"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00383"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02098"},{"key":"ref84","first-page":"54133","article-title":"SMaRt: Improving GANs with score matching regularity","volume-title":"Proceedings of the 41st International Conference on Machine Learning","author":"Xia","year":"2024"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52734.2025.02000"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72980-5_18"},{"key":"ref87","first-page":"15903","article-title":"Imagereward: learning and evaluating human preferences for text-to-image generation","volume-title":"Proceedings of the 37th International Conference on Neural Information Processing Systems","author":"Xu","year":"2023"},{"key":"ref88","article-title":"Consistent flow distillation for text-to-3d generation","volume-title":"The International Conference on Learning Representations","author":"Yan","year":"2025"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73202-7_10"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72897-6_15"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.52202\/079017-3827"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"ref93","article-title":"Recdreamer: Consistent text-to-3d generation via uniform score distillation","volume-title":"The International Conference on Learning Representations","author":"Zheng","year":"2025"},{"key":"ref94","article-title":"HIFA: Highfidelity text-to-3d generation with advanced diffusion guidance","volume-title":"The International Conference on Learning Representations","author":"Zhu","year":"2024"}],"event":{"name":"2026 International Conference on 3D Vision (3DV)","location":"Vancouver, BC, Canada","start":{"date-parts":[[2026,3,20]]},"end":{"date-parts":[[2026,3,23]]}},"container-title":["2026 International Conference on 3D Vision (3DV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11533157\/11533158\/11533164.pdf?arnumber=11533164","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T05:01:30Z","timestamp":1779944490000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11533164\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,20]]},"references-count":94,"URL":"https:\/\/doi.org\/10.1109\/3dv69130.2026.00132","relation":{},"subject":[],"published":{"date-parts":[[2026,3,20]]}}}