{"id":19,"date":"2024-05-12T22:59:06","date_gmt":"2024-05-12T22:59:06","guid":{"rendered":"https:\/\/mscvprojects.ri.cmu.edu\/2024team13\/?page_id=19"},"modified":"2024-12-15T12:35:15","modified_gmt":"2024-12-15T12:35:15","slug":"resources","status":"publish","type":"page","link":"https:\/\/mscvprojects.ri.cmu.edu\/2024team13\/resources\/","title":{"rendered":"Resources"},"content":{"rendered":"\n

Spring 2024 poster – link<\/a>
Spring 2024 presentation slides – link<\/a>
Spring 2024 video presentation – link<\/a><\/p>\n\n\n\n

Fall 2024 poster – link<\/a>
Fall 2024 presentation slides – link<\/a>
Fall 2024 video presentation – link<\/a><\/p>\n\n\n\n

<\/p>\n\n\n\n

References<\/h3>\n\n\n\n

[1] E. Hedlin et al., \u201cUnsupervised Keypoints from Pretrained Diffusion Models,\u201d arXiv preprint arXiv:2312.00065, 2023.<\/p>\n\n\n\n

[2] M. Dabhi, L. A. Jeni, and S. Lucey, 3D-LFM: Lifting Foundation Model. 2023.<\/p>\n\n\n\n

[3] W. Zhu, X. Ma, Z. Liu, L. Liu, W. Wu, and Y. Wang, \u201cMotionBERT: A Unified Perspective on Learning Human Motion Representations,\u201d 2023.<\/p>\n\n\n\n

[4] Dwivedi, S. K., Sun, Y., Patel, P., Feng, Y., & Black, M. J. (2024). TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation. IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR).<\/p>\n","protected":false},"excerpt":{"rendered":"

Spring 2024 poster – linkSpring 2024 presentation slides – linkSpring 2024 video presentation – link Fall 2024 poster – linkFall 2024 presentation slides – linkFall 2024 video presentation – link References [1] E. Hedlin et al., \u201cUnsupervised Keypoints from Pretrained Diffusion Models,\u201d arXiv preprint arXiv:2312.00065, 2023. [2] M. Dabhi, L. A. Jeni, and S. Lucey, […]<\/p>\n","protected":false},"author":216,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-19","page","type-page","status-publish","hentry"],"yoast_head":"\nResources - Towards Universal 3D Lifting<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mscvprojects.ri.cmu.edu\/2024team13\/resources\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Resources - Towards Universal 3D Lifting\" \/>\n<meta property=\"og:description\" content=\"Spring 2024 poster – linkSpring 2024 presentation slides – linkSpring 2024 video presentation – link Fall 2024 poster – linkFall 2024 presentation slides – linkFall 2024 video presentation – link References [1] E. Hedlin et al., \u201cUnsupervised Keypoints from Pretrained Diffusion Models,\u201d arXiv preprint arXiv:2312.00065, 2023. [2] M. Dabhi, L. A. Jeni, and S. 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