{"url":"/task/3d-multi-person-mesh-recovery","name":"3D Multi-Person Mesh Recovery","slug":"3d-multi-person-mesh-recovery","description_markdown":null,"categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":12,"papers_with_code":12,"benchmarks":2,"benchmark_tables_in_archive":2,"benchmark_tables_shown":2,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":2,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/3d-multi-person-mesh-recovery-on-agora","slug":"3d-multi-person-mesh-recovery-on-agora","dataset":"AGORA","dataset_url":"/dataset/agora","rows_in_archive":7,"metrics":["FB-NMVE","B-NMVE","FB-NMJE","B-NMJE","FB-MVE","B-MVE","F-MVE","LH/RH-MVE","FB-MPJPE","B-MPJPE","F-MPJPE","LH/RH-MPJPE"],"first_row_in_archive_order":{"model":"AIOS","paper_title":"AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation","paper_url":"/paper/aios-all-in-one-stage-expressive-human-pose","paper_date":"2024-03-26","arxiv_id":"2403.17934","code_links":[{"title":"ttxskk/AiOS","url":"https://github.com/ttxskk/AiOS"}],"syntology":null}},{"leaderboard":"/sota/3d-multi-person-mesh-recovery-on-relative","slug":"3d-multi-person-mesh-recovery-on-relative","dataset":"Relative Human","dataset_url":"/dataset/relative-human","rows_in_archive":1,"metrics":["PCDR"],"first_row_in_archive_order":{"model":"ROMP","paper_title":"Monocular, One-stage, Regression of Multiple 3D People","paper_url":"/paper/centerhmr-a-bottom-up-single-shot-method-for","paper_date":"2020-08-27","arxiv_id":"2008.12272","code_links":[{"title":"Arthur151/ROMP","url":"https://github.com/Arthur151/ROMP"},{"title":"cai-jianfeng/ROMP_mindspore","url":"https://github.com/cai-jianfeng/ROMP_mindspore"}],"syntology":null}}],"datasets":[{"url":"/dataset/agora","name":"AGORA","full_name":"","num_papers_in_archive":68},{"url":"/dataset/relative-human","name":"Relative Human","full_name":"","num_papers_in_archive":4}],"subtasks":[],"parent_tasks":[{"url":"/task/3d-multi-person-pose-estimation","name":"3D Multi-Person Pose Estimation"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":12,"of":12,"tagged_in_all":12,"items":[{"url":"/paper/smpler-x-scaling-up-expressive-human-pose-and","title":"SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation","date":"2023-09-29","arxiv_id":"2309.17448","repositories_listed":2,"syntology":null},{"url":"/paper/centerhmr-a-bottom-up-single-shot-method-for","title":"Monocular, One-stage, Regression of Multiple 3D People","date":"2020-08-27","arxiv_id":"2008.12272","repositories_listed":2,"syntology":null},{"url":"/paper/aios-all-in-one-stage-expressive-human-pose","title":"AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation","date":"2024-03-26","arxiv_id":"2403.17934","repositories_listed":1,"syntology":null},{"url":"/paper/multi-hmr-multi-person-whole-body-human-mesh","title":"Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot","date":"2024-02-22","arxiv_id":"2402.14654","repositories_listed":1,"syntology":{"n":9,"n_ran":8,"n_unverified":1,"n_pointer_only":9}},{"url":"/paper/instance-aware-contrastive-learning-for","title":"Instance-aware Contrastive Learning for Occluded Human Mesh Reconstruction","date":"2024-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/reconstructing-groups-of-people-with","title":"Reconstructing Groups of People with Hypergraph Relational Reasoning","date":"2023-08-30","arxiv_id":"2308.15844","repositories_listed":1,"syntology":null},{"url":"/paper/one-stage-3d-whole-body-mesh-recovery-with","title":"One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer","date":"2023-03-28","arxiv_id":"2303.16160","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/body-size-and-depth-disambiguation-in-multi","title":"Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images","date":"2021-11-02","arxiv_id":"2111.01884","repositories_listed":1,"syntology":null},{"url":"/paper/collaborative-regression-of-expressive-bodies","title":"Collaborative Regression of Expressive Bodies using Moderation","date":"2021-05-11","arxiv_id":"2105.05301","repositories_listed":1,"syntology":null},{"url":"/paper/agora-avatars-in-geography-optimized-for","title":"AGORA: Avatars in Geography Optimized for Regression Analysis","date":"2021-04-29","arxiv_id":"2104.14643","repositories_listed":1,"syntology":null},{"url":"/paper/monocular-expressive-body-regression-through","title":"Monocular Expressive Body Regression through Body-Driven Attention","date":"2020-08-20","arxiv_id":"2008.09062","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_unverified":0,"n_pointer_only":2}},{"url":"/paper/expressive-body-capture-3d-hands-face-and","title":"Expressive Body Capture: 3D Hands, Face, and Body from a Single Image","date":"2019-04-11","arxiv_id":"1904.05866","repositories_listed":1,"syntology":null}],"syntology_records":3,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}