{"about":{"site":"https://codewithpapers.app","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.","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"},"url":"/code/image-coordinates","entry":"image_coordinates","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","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)"},"n_papers":7,"n_papers_ran":0,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":2,"n_samples_ran":0,"n_samples_fingerprinted":0,"n_places":7,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":0,"unverified":2},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2404.00658","paper":"/paper/ktpformer-kinematics-and-trajectory-prior","title":"KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation","date":"2024-03-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"JihuaPeng/KTPFormer","path":"common/camera.py","file_url":"https://github.com/JihuaPeng/KTPFormer/blob/HEAD/common/camera.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"7669d6b1ce1e7096","mcp_get_code":{"code_sha256":"7669d6b1ce1e7096"}},{"arxiv_id":"2403.11310","paper":"/paper/a-dual-augmentor-framework-for-domain","title":"A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation","date":"2024-03-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"davidpengucf/DAF-DG","path":"common/camera.py","file_url":"https://github.com/davidpengucf/DAF-DG/blob/HEAD/common/camera.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"7669d6b1ce1e7096","mcp_get_code":{"code_sha256":"7669d6b1ce1e7096"}},{"arxiv_id":"2211.16940","paper":"/paper/diffpose-toward-more-reliable-3d-pose","title":"DiffPose: Toward More Reliable 3D Pose Estimation","date":"2022-11-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"GONGJIA0208/Diffpose","path":"common/camera.py","file_url":"https://github.com/GONGJIA0208/Diffpose/blob/HEAD/common/camera.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"7669d6b1ce1e7096","mcp_get_code":{"code_sha256":"7669d6b1ce1e7096"}},{"arxiv_id":"2210.06110","paper":"/paper/uplift-and-upsample-efficient-3d-human-pose","title":"Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers","date":"2022-10-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"goldbricklemon/uplift-upsample-3dhpe","path":"common/dataset/camera.py","file_url":"https://github.com/goldbricklemon/uplift-upsample-3dhpe/blob/HEAD/common/dataset/camera.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"7669d6b1ce1e7096","mcp_get_code":{"code_sha256":"7669d6b1ce1e7096"}},{"arxiv_id":"2203.08713","paper":"/paper/deciwatch-a-simple-baseline-for-10x-efficient","title":"DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation","date":"2022-03-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"cure-lab/DeciWatch","path":"lib/utils/cam_utils.py","file_url":"https://github.com/cure-lab/DeciWatch/blob/HEAD/lib/utils/cam_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"2c8338c89fe8975c","mcp_get_code":{"code_sha256":"2c8338c89fe8975c"}},{"arxiv_id":"2007.09389","paper":"/paper/srnet-improving-generalization-in-3d-human","title":"SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach","date":"2020-07-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ailingzengzzz/Split-and-Recombine-Net","path":"common/transformation/cam_utils.py","file_url":"https://github.com/ailingzengzzz/Split-and-Recombine-Net/blob/HEAD/common/transformation/cam_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"2c8338c89fe8975c","mcp_get_code":{"code_sha256":"2c8338c89fe8975c"}},{"arxiv_id":"1904.03345","paper":"/paper/semantic-graph-convolutional-networks-for-3d","title":"Semantic Graph Convolutional Networks for 3D Human Pose Regression","date":"2019-04-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"garyzhao/SemGCN","path":"common/camera.py","file_url":"https://github.com/garyzhao/SemGCN/blob/HEAD/common/camera.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"7669d6b1ce1e7096","mcp_get_code":{"code_sha256":"7669d6b1ce1e7096"}}]}