{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/hand-pose-estimation/papers/ran/1","list_of":"/task/hand-pose-estimation","task":"Hand Pose Estimation","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not run it on this task or check it against the task's benchmarks.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","page":1,"pages_in_order":1,"rows_per_page":100,"rows":[1,23],"of":23,"counts":{"archive_papers_tagged":260,"with_a_code_link":103,"where_syntology_ran_a_sample":23,"not_listed_spam_title":0,"listed":260,"listed_where_code_ran":23,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":19,"every_run_a_failure_of_syntologys_instrument":4,"listed_with_a_run_with_no_instrument_failure":19,"listed_every_run_a_failure_of_syntologys_instrument":4,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/hand-pose-estimation/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/analyzing-the-synthetic-to-real-domain-gap-in","slug":"analyzing-the-synthetic-to-real-domain-gap-in","title":"Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation","date":"2025-03-25","arxiv_id":"2503.19307","repositories_listed":1,"syntology":{"n":6,"n_ran":6,"n_constructed":1,"n_ran_checked":2,"n_instrument":4,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":1,"n_pointer_only":6,"phrase":"6 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 4 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/analyzing-the-synthetic-to-real-domain-gap-in#ran","syntology_url":"https://syntology.ai/paper/2503.19307","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2503.19307"}},"official":{"repos":["delaprada/handsynthesis"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":1,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/simhand-mining-similar-hands-for-large-scale","slug":"simhand-mining-similar-hands-for-large-scale","title":"SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training","date":"2025-02-21","arxiv_id":"2502.15251","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/simhand-mining-similar-hands-for-large-scale#ran","syntology_url":"https://syntology.ai/paper/2502.15251","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2502.15251"}},"official":{"repos":["ut-vision/simhand"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/emg2pose-a-large-and-diverse-benchmark-for","slug":"emg2pose-a-large-and-diverse-benchmark-for","title":"emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation","date":"2024-12-02","arxiv_id":"2412.02725","repositories_listed":1,"syntology":{"n":3,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":3,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/emg2pose-a-large-and-diverse-benchmark-for#ran","syntology_url":"https://syntology.ai/paper/2412.02725","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2412.02725"}},"official":{"repos":["facebookresearch/emg2pose"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/in-my-perspective-in-my-hands-accurate","slug":"in-my-perspective-in-my-hands-accurate","title":"In My Perspective, In My Hands: Accurate Egocentric 2D Hand Pose and Action Recognition","date":"2024-04-14","arxiv_id":"2404.09308","repositories_listed":1,"syntology":{"n":5,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":5,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/in-my-perspective-in-my-hands-accurate#ran","syntology_url":"https://syntology.ai/paper/2404.09308","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.09308"}},"official":{"repos":["wiktormucha/effhandegonet"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/handdiff-3d-hand-pose-estimation-with","slug":"handdiff-3d-hand-pose-estimation-with","title":"HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud","date":"2024-04-04","arxiv_id":"2404.03159","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":1,"n_ran_checked":1,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"2 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/handdiff-3d-hand-pose-estimation-with#ran","syntology_url":"https://syntology.ai/paper/2404.03159","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.03159"}},"official":{"repos":["cwc1260/handdiff"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/single-to-dual-view-adaptation-for-egocentric","slug":"single-to-dual-view-adaptation-for-egocentric","title":"Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation","date":"2024-03-07","arxiv_id":"2403.04381","repositories_listed":2,"syntology":{"n":16,"n_ran":10,"n_constructed":0,"n_ran_checked":10,"n_instrument":0,"n_unverified":6,"n_honours":1,"n_violates":0,"n_no_contract":9,"n_pointer_only":16,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/single-to-dual-view-adaptation-for-egocentric#ran","syntology_url":"https://syntology.ai/paper/2403.04381","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.04381"}},"official":{"repos":["ut-vision/s2dhand"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":6,"ran_from_kinds":["official"]}}},{"url":"/paper/a-simple-baseline-for-efficient-hand-mesh","slug":"a-simple-baseline-for-efficient-hand-mesh","title":"A Simple Baseline for Efficient Hand Mesh Reconstruction","date":"2024-03-04","arxiv_id":"2403.01813","repositories_listed":1,"syntology":{"n":15,"n_ran":9,"n_constructed":0,"n_ran_checked":9,"n_instrument":0,"n_unverified":6,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":1,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/a-simple-baseline-for-efficient-hand-mesh#ran","syntology_url":"https://syntology.ai/paper/2403.01813","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.01813"}},"official":null}},{"url":"/paper/renderih-a-large-scale-synthetic-dataset-for","slug":"renderih-a-large-scale-synthetic-dataset-for","title":"RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation","date":"2023-09-17","arxiv_id":"2309.09301","repositories_listed":1,"syntology":{"n":8,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":8,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/renderih-a-large-scale-synthetic-dataset-for#ran","syntology_url":"https://syntology.ai/paper/2309.09301","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2309.09301"}},"official":{"repos":["adwardlee/renderih"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/ochid-fi-occlusion-robust-hand-pose","slug":"ochid-fi-occlusion-robust-hand-pose","title":"OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision","date":"2023-08-20","arxiv_id":"2308.10146","repositories_listed":1,"syntology":{"n":11,"n_ran":10,"n_constructed":7,"n_ran_checked":8,"n_instrument":2,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":11,"phrase":"10 ran (of which 7 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/ochid-fi-occlusion-robust-hand-pose#ran","syntology_url":"https://syntology.ai/paper/2308.10146","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.10146"}},"official":{"repos":["deepwise888/ochid-fi"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":7,"n_ran_no_instrument_failure":8,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/hand-pose-estimation-via-multiview","slug":"hand-pose-estimation-via-multiview","title":"HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning","date":"2023-02-02","arxiv_id":"2302.00988","repositories_listed":1,"syntology":{"n":12,"n_ran":11,"n_constructed":0,"n_ran_checked":8,"n_instrument":3,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":6,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/hand-pose-estimation-via-multiview#ran","syntology_url":"https://syntology.ai/paper/2302.00988","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2302.00988"}},"official":{"repos":["zxz267/HaMuCo"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/dart-articulated-hand-model-with-diverse","slug":"dart-articulated-hand-model-with-diverse","title":"DART: Articulated Hand Model with Diverse Accessories and Rich Textures","date":"2022-10-14","arxiv_id":"2210.07650","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/dart-articulated-hand-model-with-diverse#ran","syntology_url":"https://syntology.ai/paper/2210.07650","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.07650"}},"official":{"repos":["DART2022/DART"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/hierarchical-temporal-transformer-for-3d-hand","slug":"hierarchical-temporal-transformer-for-3d-hand","title":"Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition from Egocentric RGB Videos","date":"2022-09-20","arxiv_id":"2209.09484","repositories_listed":1,"syntology":{"n":8,"n_ran":7,"n_constructed":0,"n_ran_checked":6,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":1,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/hierarchical-temporal-transformer-for-3d-hand#ran","syntology_url":"https://syntology.ai/paper/2209.09484","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2209.09484"}},"official":{"repos":["fylwen/htt"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/context-aware-sequence-alignment-using-4d","slug":"context-aware-sequence-alignment-using-4d","title":"Context-Aware Sequence Alignment using 4D Skeletal Augmentation","date":"2022-04-26","arxiv_id":"2204.12223","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":1,"n_ran_checked":1,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"3 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/context-aware-sequence-alignment-using-4d#ran","syntology_url":"https://syntology.ai/paper/2204.12223","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2204.12223"}},"official":null}},{"url":"/paper/a-unified-framework-for-domain-adaptive-pose","slug":"a-unified-framework-for-domain-adaptive-pose","title":"A Unified Framework for Domain Adaptive Pose Estimation","date":"2022-04-01","arxiv_id":"2204.00172","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/a-unified-framework-for-domain-adaptive-pose#ran","syntology_url":"https://syntology.ai/paper/2204.00172","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2204.00172"}},"official":{"repos":["visionlearninggroup/uda_poseestimation"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/active-learning-with-pseudo-labels-for-multi","slug":"active-learning-with-pseudo-labels-for-multi","title":"Rethinking the Data Annotation Process for Multi-view 3D Pose Estimation with Active Learning and Self-Training","date":"2021-12-27","arxiv_id":"2112.13709","repositories_listed":1,"syntology":{"n":2,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/active-learning-with-pseudo-labels-for-multi#ran","syntology_url":"https://syntology.ai/paper/2112.13709","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2112.13709"}},"official":{"repos":["facebookresearch/multi_view_active_learning"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/handfoldingnet-a-3d-hand-pose-estimation","slug":"handfoldingnet-a-3d-hand-pose-estimation","title":"HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton","date":"2021-08-12","arxiv_id":"2108.05545","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":1,"n_ran_checked":1,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"2 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/handfoldingnet-a-3d-hand-pose-estimation#ran","syntology_url":"https://syntology.ai/paper/2108.05545","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2108.05545"}},"official":{"repos":["cwc1260/handfold"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/hand-image-understanding-via-deep-multi-task","slug":"hand-image-understanding-via-deep-multi-task","title":"Hand Image Understanding via Deep Multi-Task Learning","date":"2021-07-24","arxiv_id":"2107.11646","repositories_listed":1,"syntology":{"n":2,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/hand-image-understanding-via-deep-multi-task#ran","syntology_url":"https://syntology.ai/paper/2107.11646","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2107.11646"}},"official":{"repos":["MandyMo/HIU-DMTL"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/awr-adaptive-weighting-regression-for-3d-hand","slug":"awr-adaptive-weighting-regression-for-3d-hand","title":"AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation","date":"2020-07-19","arxiv_id":"2007.09590","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/awr-adaptive-weighting-regression-for-3d-hand#ran","syntology_url":"https://syntology.ai/paper/2007.09590","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2007.09590"}},"official":{"repos":["Elody-07/AWR-Adaptive-Weighting-Regression"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/weakly-supervised-mesh-convolutional-hand","slug":"weakly-supervised-mesh-convolutional-hand","title":"Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild","date":"2020-04-04","arxiv_id":"2004.01946","repositories_listed":4,"syntology":{"n":20,"n_ran":18,"n_constructed":0,"n_ran_checked":15,"n_instrument":3,"n_unverified":2,"n_honours":0,"n_violates":1,"n_no_contract":14,"n_pointer_only":0,"phrase":"18 ran (of which 0 constructed an object rather than computing a result; 15 with no instrument failure: 0 honoured, 1 violated, 14 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/weakly-supervised-mesh-convolutional-hand#ran","syntology_url":"https://syntology.ai/paper/2004.01946","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2004.01946"}},"official":null}},{"url":"/paper/a2j-anchor-to-joint-regression-network-for-3d","slug":"a2j-anchor-to-joint-regression-network-for-3d","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","date":"2019-08-27","arxiv_id":"1908.09999","repositories_listed":2,"syntology":{"n":9,"n_ran":8,"n_constructed":0,"n_ran_checked":2,"n_instrument":6,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 6 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/a2j-anchor-to-joint-regression-network-for-3d#ran","syntology_url":"https://syntology.ai/paper/1908.09999","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1908.09999"}},"official":{"repos":["zhangboshen/A2J"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/normalized-diversification","slug":"normalized-diversification","title":"Normalized Diversification","date":"2019-04-07","arxiv_id":"1904.03608","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":2,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 2 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/normalized-diversification#ran","syntology_url":"https://syntology.ai/paper/1904.03608","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1904.03608"}},"official":null}},{"url":"/paper/first-person-hand-action-benchmark-with-rgb-d","slug":"first-person-hand-action-benchmark-with-rgb-d","title":"First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations","date":"2017-04-08","arxiv_id":"1704.02463","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":2,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/first-person-hand-action-benchmark-with-rgb-d#ran","syntology_url":"https://syntology.ai/paper/1704.02463","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1704.02463"}},"official":null}},{"url":"/paper/learning-from-simulated-and-unsupervised","slug":"learning-from-simulated-and-unsupervised","title":"Learning from Simulated and Unsupervised Images through Adversarial Training","date":"2016-12-22","arxiv_id":"1612.07828","repositories_listed":9,"syntology":{"n":8,"n_ran":6,"n_constructed":0,"n_ran_checked":5,"n_instrument":1,"n_unverified":2,"n_honours":0,"n_violates":1,"n_no_contract":4,"n_pointer_only":1,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 1 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/learning-from-simulated-and-unsupervised#ran","syntology_url":"https://syntology.ai/paper/1612.07828","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1612.07828"}},"official":null}}],"record_sha256":"800f75f67d41fd15dd4694d538fa4342fd4d6dc62b8f5ec37e866cf5260a7d13","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}