{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,2]],"date-time":"2025-04-02T09:25:46Z","timestamp":1743585946072,"version":"3.37.3"},"reference-count":64,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000006","name":"ONR","doi-asserted-by":"publisher","award":["N00014-21-1-2685"],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1109\/cvpr52729.2023.01717","type":"proceedings-article","created":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T17:30:52Z","timestamp":1692725452000},"page":"17907-17917","source":"Crossref","is-referenced-by-count":11,"title":["NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis"],"prefix":"10.1109","author":[{"given":"Allan","family":"Zhou","sequence":"first","affiliation":[{"name":"Stanford"}]},{"given":"Moo Jin","family":"Kim","sequence":"additional","affiliation":[{"name":"Stanford"}]},{"given":"Lirui","family":"Wang","sequence":"additional","affiliation":[{"name":"MIT CSAIL"}]},{"given":"Pete","family":"Florence","sequence":"additional","affiliation":[{"name":"Google"}]},{"given":"Chelsea","family":"Finn","sequence":"additional","affiliation":[{"name":"Stanford"}]}],"member":"263","reference":[{"key":"ref13","first-page":"49","article-title":"Guided cost learning: Deep inverse optimal control via policy optimization","author":"finn","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref57","article-title":"Manipulation trajectory optimization with online grasp synthesis and selection","author":"wang","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01146"},{"key":"ref56","doi-asserted-by":"crossref","first-page":"2883","DOI":"10.1109\/LRA.2022.3143198","article-title":"Hi-erarchical policies for cluttered-scene grasping with latent plans","volume":"7","author":"wang","year":"2022","journal-title":"IEEE l of Robotics and Automation"},{"journal-title":"Deep residual learning for image recognition","year":"2015","author":"he","key":"ref15"},{"key":"ref59","first-page":"4690","article-title":"Ibr-net: Learning multi-view image-based rendering","author":"wang","year":"0","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2956365"},{"key":"ref58","first-page":"70","article-title":"Goal-auxiliary actor-critic for 6d robotic grasping with point clouds","author":"wang","year":"0","journal-title":"Conference on Robot Learning"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3004787"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812146"},{"journal-title":"ACRONYM A large-scale grasp dataset based on simulation","year":"2020","author":"eppner","key":"ref11"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01490"},{"key":"ref10","article-title":"Reinforcement learning with neural radiance fields","author":"driess","year":"2022","journal-title":"ArXiv Preprint"},{"key":"ref54","first-page":"1455","article-title":"Grasp pose detection in point clouds","author":"pas","year":"2017","journal-title":"The International Journal of Robotics Research"},{"key":"ref17","article-title":"Vision-based manipulators need to also see from their hands","author":"hsu","year":"2022","journal-title":"ArXiv Preprint"},{"key":"ref16","article-title":"Thriftydagger: Budget-aware novelty and risk gating for interactive imitation learning","author":"hoque","year":"0","journal-title":"5th Annual Conference on Robot Learning"},{"key":"ref19","first-page":"991","article-title":"Bc-z: Zero-shot task generalization with robotic imitation learning","author":"jang","year":"0","journal-title":"Conference on Robot Learning"},{"key":"ref18","article-title":"Dex-nerf: Using a neural radiance field to grasp transparent objects","author":"ichnowski","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref51","first-page":"387","article-title":"Deterministic policy gradient algorithms","author":"silver","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1177\/027836499601500302"},{"key":"ref46","article-title":"A reduction of imitation learning and structured prediction to noregret online learning","author":"ross","year":"0","journal-title":"International Conference on Artificial Intelligence and Statistics (AISTATS)"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139361"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.445"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197318"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530127"},{"journal-title":"Learning complex dexterous manipulation with deep reinforcement learning and demonstrations","year":"2017","author":"rajeswaran","key":"ref44"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487517"},{"key":"ref49","article-title":"Pixelwise view selection for unstructured multi-view stereo","author":"sch\u00f6nberger","year":"0","journal-title":"European Conference on Computer Vision (ECCV)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2011.VII.009"},{"key":"ref7","article-title":"Differentiable physics simulation of dynamics-augmented neural objects","author":"cleac'h","year":"2022","journal-title":"ArXiv Preprint"},{"key":"ref9","article-title":"Learning multi-object dynamics with compositional neural radiance fields","author":"driess","year":"2022","journal-title":"ArXiv Preprint"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2013.2289018"},{"key":"ref3","article-title":"Neural fields for robotic object manipulation from a single image","author":"blukis","year":"2022","journal-title":"ArXiv Preprint"},{"journal-title":"ShapeNet An Information-Rich 3D Model Repository","year":"2015","author":"chang","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2015.2448951"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00299"},{"key":"ref35","article-title":"What matters in learning from offline human demonstrations for robot manipulation","author":"mandlekar","year":"0","journal-title":"Conference on Robot Learning (CoRL)"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2017.XIII.058"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968287"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1177\/0278364914549607"},{"key":"ref30","first-page":"19884","article-title":"Reinforcement learning with augmented data","volume":"33","author":"laskin","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref33","first-page":"112","article-title":"3d neural scene representations for visuomotor control","author":"li","year":"0","journal-title":"Conference on Robot Learning"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917710318"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2000.844081"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3150497"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2018.XIV.021"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2004.1371616"},{"key":"ref24","article-title":"Evo-nerf: Evolving nerf for sequential robot grasping","author":"kerr","year":"0","journal-title":"6th Annual Conference on Robot Learning"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793698"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s43154-020-00021-6"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JRA.1987.1087068"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3144512"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00455"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636708"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561662"},{"key":"ref21","first-page":"651","article-title":"Scalable deep reinforcement learning for vision-based robotic manipulation","author":"kalashnikov","year":"0","journal-title":"Conference on Robot Learning"},{"key":"ref28","article-title":"Fine-tuning can distort pretrained features and underperform out-of-distribution","author":"kumar","year":"2022","journal-title":"ArXiv Preprint"},{"key":"ref27","article-title":"Image augmentation is all you need: Regularizing deep reinforcement learning from pixels","author":"kostrikov","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref29","first-page":"143","article-title":"Dart: Noise injection for robust imitation learning","author":"laskey","year":"0","journal-title":"Conference on Robot Learning"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460609"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812291"},{"key":"ref61","article-title":"Image augmentation is all you need: Regularizing deep reinforcement learning from pixels","author":"yarats","year":"0","journal-title":"International Conference on Learning Representations"}],"event":{"name":"2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","start":{"date-parts":[[2023,6,17]]},"location":"Vancouver, BC, Canada","end":{"date-parts":[[2023,6,24]]}},"container-title":["2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10203037\/10203050\/10203116.pdf?arnumber=10203116","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T18:04:12Z","timestamp":1694455452000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10203116\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":64,"URL":"https:\/\/doi.org\/10.1109\/cvpr52729.2023.01717","relation":{},"subject":[],"published":{"date-parts":[[2023,6]]}}}