{"adoption": {"forks": 236, "observed_at": "2026-08-28T04:05:48.676864+00:00", "stars": 1882}, "canonical_url": "https://ross.abutalabs.com/products/gvhmr", "card": {"archived": false, "artifact_type": "library", "description": "Code for \"GVHMR: World-Grounded Human Motion Recovery via Gravity-View Coordinates\", Siggraph Asia 2024, TPAMI 2026", "domain": ["computer-vision", "machine-learning", "artificial-intelligence"], "enriched": true, "function": ["machine-learning", "computer-vision", "deep-learning", "simulation"], "health_score": 70, "homepage": "https://zju3dv.github.io/gvhmr", "language": "Jupyter Notebook", "license": "NOASSERTION", "license_family": "other", "maturity": "active", "member_repos": ["zju3dv/GVHMR"], "name": "zju3dv/GVHMR", "platform": ["python"], "pushed_at": "2026-05-21T12:27:46+00:00", "repo": "zju3dv/GVHMR", "stars": 1882, "tags": ["human-motion-recovery", "pose-estimation", "smpl", "monocular-video", "pytorch", "3d-human-pose", "world-grounded-motion", "research-code", "gpu", "linux"], "topics": [], "urls": [], "use_cases": ["recover 3d human motion from monocular video", "estimate world-grounded smpl poses from video", "run human pose estimation on a video with a static or moving camera", "reproduce 3dpw rich and emdb benchmark results", "train a human motion recovery model on amass bedlam datasets", "demo human motion capture from a single video"], "what_it_is": "GVHMR is a research codebase implementing the SIGGRAPH Asia 2024 paper 'World-Grounded Human Motion Recovery via Gravity-View Coordinates'. It recovers world-grounded global 3D human motion (SMPL poses) from monocular video using a gravity-view coordinate representation, with training and inference pipelines.", "when_to_avoid": ["you need a production-ready commercial product (license is non-commercial)", "you need real-time motion capture on CPU-only hardware", "you only need simple 2D pose estimation"], "when_to_choose": ["you need global (world-grounded) human motion rather than per-frame camera-relative pose", "you want to reproduce or build on a published state-of-the-art motion recovery method", "you have a GPU and want research-grade training and inference code"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/gvhmr", "repo": "zju3dv/GVHMR", "role": "main", "score": 60}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:48.676864+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:13:57.485414+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0c4b6b619bcf11d139161110874e82f1fd31eafccef8543a916058df98d7fe3d", "fetched_at": "2026-08-28T04:05:48.676864+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zju3dv/GVHMR"}, {"content_hash": "763e52f4169bf5b15d05a4000d60e7ba4a7b87617708c4c240be9628ed94dc26", "fetched_at": "2026-08-29T10:53:02.251478+00:00", "kind": "homepage", "missing": false, "url": "https://zju3dv.github.io/gvhmr"}, {"content_hash": "2b58302d01f0319b1a03c0095aea0663fb6ab1e3c1662fee4620e63a8d75dd6b", "fetched_at": "2026-08-29T10:53:02.260496+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/gvhmr/json"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:48.676864+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:13:57.485414+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0c4b6b619bcf11d139161110874e82f1fd31eafccef8543a916058df98d7fe3d", "fetched_at": "2026-08-28T04:05:48.676864+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zju3dv/GVHMR"}, {"content_hash": "763e52f4169bf5b15d05a4000d60e7ba4a7b87617708c4c240be9628ed94dc26", "fetched_at": "2026-08-29T10:53:02.251478+00:00", "kind": "homepage", "missing": false, "url": "https://zju3dv.github.io/gvhmr"}, {"content_hash": "2b58302d01f0319b1a03c0095aea0663fb6ab1e3c1662fee4620e63a8d75dd6b", "fetched_at": "2026-08-29T10:53:02.260496+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/gvhmr/json"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:13:57.485414+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0c4b6b619bcf11d139161110874e82f1fd31eafccef8543a916058df98d7fe3d", "fetched_at": "2026-08-28T04:05:48.676864+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zju3dv/GVHMR"}, {"content_hash": "763e52f4169bf5b15d05a4000d60e7ba4a7b87617708c4c240be9628ed94dc26", "fetched_at": "2026-08-29T10:53:02.251478+00:00", "kind": "homepage", "missing": false, "url": "https://zju3dv.github.io/gvhmr"}, {"content_hash": "2b58302d01f0319b1a03c0095aea0663fb6ab1e3c1662fee4620e63a8d75dd6b", "fetched_at": "2026-08-29T10:53:02.260496+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/gvhmr/json"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:48.676864+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:48.676864+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:48.676864+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:13:57.485414+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0c4b6b619bcf11d139161110874e82f1fd31eafccef8543a916058df98d7fe3d", "fetched_at": "2026-08-28T04:05:48.676864+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zju3dv/GVHMR"}, {"content_hash": "763e52f4169bf5b15d05a4000d60e7ba4a7b87617708c4c240be9628ed94dc26", "fetched_at": "2026-08-29T10:53:02.251478+00:00", "kind": "homepage", "missing": false, "url": "https://zju3dv.github.io/gvhmr"}, {"content_hash": "2b58302d01f0319b1a03c0095aea0663fb6ab1e3c1662fee4620e63a8d75dd6b", "fetched_at": "2026-08-29T10:53:02.260496+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/gvhmr/json"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:48.676864+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:48.676864+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:13:57.485414+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0c4b6b619bcf11d139161110874e82f1fd31eafccef8543a916058df98d7fe3d", "fetched_at": "2026-08-28T04:05:48.676864+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zju3dv/GVHMR"}, {"content_hash": "763e52f4169bf5b15d05a4000d60e7ba4a7b87617708c4c240be9628ed94dc26", "fetched_at": "2026-08-29T10:53:02.251478+00:00", "kind": "homepage", "missing": false, "url": "https://zju3dv.github.io/gvhmr"}, {"content_hash": "2b58302d01f0319b1a03c0095aea0663fb6ab1e3c1662fee4620e63a8d75dd6b", "fetched_at": "2026-08-29T10:53:02.260496+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/gvhmr/json"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:48.676864+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:48.676864+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:48.676864+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:13:57.485414+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0c4b6b619bcf11d139161110874e82f1fd31eafccef8543a916058df98d7fe3d", "fetched_at": "2026-08-28T04:05:48.676864+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zju3dv/GVHMR"}, {"content_hash": "763e52f4169bf5b15d05a4000d60e7ba4a7b87617708c4c240be9628ed94dc26", "fetched_at": "2026-08-29T10:53:02.251478+00:00", "kind": "homepage", "missing": false, "url": "https://zju3dv.github.io/gvhmr"}, {"content_hash": "2b58302d01f0319b1a03c0095aea0663fb6ab1e3c1662fee4620e63a8d75dd6b", "fetched_at": "2026-08-29T10:53:02.260496+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/gvhmr/json"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:48.676864+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:48.676864+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:13:57.485414+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0c4b6b619bcf11d139161110874e82f1fd31eafccef8543a916058df98d7fe3d", "fetched_at": "2026-08-28T04:05:48.676864+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zju3dv/GVHMR"}, {"content_hash": "763e52f4169bf5b15d05a4000d60e7ba4a7b87617708c4c240be9628ed94dc26", "fetched_at": "2026-08-29T10:53:02.251478+00:00", "kind": "homepage", "missing": false, "url": "https://zju3dv.github.io/gvhmr"}, {"content_hash": "2b58302d01f0319b1a03c0095aea0663fb6ab1e3c1662fee4620e63a8d75dd6b", "fetched_at": "2026-08-29T10:53:02.260496+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/gvhmr/json"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:13:57.485414+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0c4b6b619bcf11d139161110874e82f1fd31eafccef8543a916058df98d7fe3d", "fetched_at": "2026-08-28T04:05:48.676864+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zju3dv/GVHMR"}, {"content_hash": "763e52f4169bf5b15d05a4000d60e7ba4a7b87617708c4c240be9628ed94dc26", "fetched_at": "2026-08-29T10:53:02.251478+00:00", "kind": "homepage", "missing": false, "url": "https://zju3dv.github.io/gvhmr"}, {"content_hash": "2b58302d01f0319b1a03c0095aea0663fb6ab1e3c1662fee4620e63a8d75dd6b", "fetched_at": "2026-08-29T10:53:02.260496+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/gvhmr/json"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:13:57.485414+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0c4b6b619bcf11d139161110874e82f1fd31eafccef8543a916058df98d7fe3d", "fetched_at": "2026-08-28T04:05:48.676864+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zju3dv/GVHMR"}, {"content_hash": "763e52f4169bf5b15d05a4000d60e7ba4a7b87617708c4c240be9628ed94dc26", "fetched_at": "2026-08-29T10:53:02.251478+00:00", "kind": "homepage", "missing": false, "url": "https://zju3dv.github.io/gvhmr"}, {"content_hash": "2b58302d01f0319b1a03c0095aea0663fb6ab1e3c1662fee4620e63a8d75dd6b", "fetched_at": "2026-08-29T10:53:02.260496+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/gvhmr/json"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:13:57.485414+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0c4b6b619bcf11d139161110874e82f1fd31eafccef8543a916058df98d7fe3d", "fetched_at": "2026-08-28T04:05:48.676864+00:00", "kind": "readme", "missing": false, "url": "https://github.com/zju3dv/GVHMR"}, {"content_hash": "763e52f4169bf5b15d05a4000d60e7ba4a7b87617708c4c240be9628ed94dc26", "fetched_at": "2026-08-29T10:53:02.251478+00:00", "kind": "homepage", "missing": false, "url": "https://zju3dv.github.io/gvhmr"}, {"content_hash": "2b58302d01f0319b1a03c0095aea0663fb6ab1e3c1662fee4620e63a8d75dd6b", "fetched_at": "2026-08-29T10:53:02.260496+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/gvhmr/json"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 83, "longevity": 52, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 728, "days_push": 104, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 60, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}