{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T09:29:15Z","timestamp":1780392555056,"version":"3.54.1"},"reference-count":79,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"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":[[2025,10,19]]},"DOI":"10.1109\/iccv51701.2025.00897","type":"proceedings-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:45:49Z","timestamp":1777491949000},"page":"96116-96226","source":"Crossref","is-referenced-by-count":2,"title":["SDFit: 3D Object Pose and Shape by Fitting a Morphable SDF to a Single Image"],"prefix":"10.1109","author":[{"given":"Dimitrije","family":"Anti\u0107","sequence":"first","affiliation":[{"name":"University of Amsterdam,The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georgios","family":"Paschalidis","sequence":"additional","affiliation":[{"name":"University of Amsterdam,The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shashank","family":"Tripathi","sequence":"additional","affiliation":[{"name":"Max Planck Institute for Intelligent Systems,Tübingen,Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Theo","family":"Gevers","sequence":"additional","affiliation":[{"name":"University of Amsterdam,The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sai Kumar","family":"Dwivedi","sequence":"additional","affiliation":[{"name":"Max Planck Institute for Intelligent Systems,Tübingen,Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dimitrios","family":"Tzionas","sequence":"additional","affiliation":[{"name":"University of Amsterdam,The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00375"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1073204.1073207"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2024.3506283"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02059"},{"key":"ref5","article-title":"Depth Pro: Sharp monocular metric depth in less than a second","author":"Bochkovskii","year":"2025","journal-title":"ICLR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_34"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2929257"},{"key":"ref8","author":"Chang","year":"2015","journal-title":"ShapeNet: An information-rich 3D model repository"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00812"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01024"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00609"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00433"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_38"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.00173"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1554"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01263"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01977"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00430"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.02105"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.264"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/358669.358692"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2019.00988"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19842-7_30"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00399"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.595"},{"key":"ref26","article-title":"LRM: Large reconstruction model for single image to 3D","author":"Hong","year":"2024","journal-title":"ICLR"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01241"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00959"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01271"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01660"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00868"},{"key":"ref32","author":"Jun","year":"2023","journal-title":"Shap-E: Generating conditional 3D implicit functions"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01839"},{"key":"ref34","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2015","journal-title":"ICLR"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417861"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02001"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00866"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref39","article-title":"OpenShape: Scaling up 3D shape representation towards open-world understanding","author":"Liu","year":"2023","journal-title":"NeurIPS"},{"key":"ref40","article-title":"One-2\u20133-45: Any single image to 3D mesh in 45 seconds without per-shape optimization","author":"Liu","year":"2024","journal-title":"NeurIPS"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00853"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01535"},{"issue":"6","key":"ref43","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2816795.2818013","article-title":"Black. SMPL: A skinned multiperson linear model","volume":"34","author":"Loper","year":"2015","journal-title":"TOG"},{"key":"ref44","article-title":"MediaPipe: A framework for building perception pipelines","author":"Lugaresi","year":"2019","journal-title":"CVPRW"},{"key":"ref45","article-title":"Diffusion hyperfeatures: Searching through time and space for semantic correspondence","author":"Luo","year":"2023","journal-title":"NeurIPS"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00816"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01242"},{"key":"ref48","author":"Nichol","year":"2022","journal-title":"Point-E: A system for generating 3D point clouds from complex prompts"},{"key":"ref49","article-title":"DINOv2: Learning robust visual features without supervision","author":"Oquab","year":"2024","journal-title":"TMLR"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73347-5_10"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2019.00025"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01123"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01362"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00427"},{"key":"ref55","article-title":"Magic 123: One image to high-quality 3D object generation using both 2D and 3D diffusion priors","author":"Qian","year":"2024","journal-title":"ICLR"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3019967"},{"key":"ref57","volume-title":"Rembg: A tool to remove images background","year":"2022"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3592430"},{"key":"ref60","article-title":"Implicit neural representations with periodic activation functions","author":"Sitzmann","year":"2020","journal-title":"NeurIPS"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00314"},{"key":"ref62","author":"Tochilkin","year":"2024","journal-title":"Triposr: Fast 3d object reconstruction from a single image"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00275"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_4"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00091"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00849"},{"key":"ref67","first-page":"803","author":"Wu","year":"2023","journal-title":"CVPR"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01122"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2014.6836101"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2018.xiv.019"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00622"},{"key":"ref72","first-page":"8843","article-title":"Shelfsupervised mesh prediction in the wild","author":"Ye","year":"2021","journal-title":"CVPR"},{"key":"ref73","author":"Yu","year":"2023","journal-title":"Inpaint anything: Segment anything meets image inpainting"},{"key":"ref74","article-title":"A tale of two features: Stable diffusion complements DINO for zero-shot semantic correspondence","author":"Zhang","year":"2023","journal-title":"NeurIPS"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00297"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00148"},{"key":"ref78","article-title":"Uni3D: Exploring unified 3D representation at scale","author":"Zhou","year":"2024","journal-title":"ICLR"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/iccvw69036.2025.00201"}],"event":{"name":"2025 IEEE\/CVF International Conference on Computer Vision (ICCV)","location":"Honolulu, HI, USA","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/CVF International Conference on Computer Vision (ICCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11443115\/11443287\/11445739.pdf?arnumber=11445739","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T05:02:59Z","timestamp":1777611779000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11445739\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":79,"URL":"https:\/\/doi.org\/10.1109\/iccv51701.2025.00897","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}