{"adoption": {"forks": 80, "observed_at": "2026-08-28T04:04:38.665892+00:00", "stars": 1409}, "canonical_url": "https://ross.abutalabs.com/products/gen3c", "card": {"archived": false, "artifact_type": "library", "description": "[CVPR 2025 Highlight] GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control", "domain": ["computer-vision", "deep-learning", "graphics", "artificial-intelligence"], "enriched": true, "function": ["video-processing", "machine-learning", "deep-learning", "computer-vision", "graphics"], "health_score": 73, "homepage": "https://research.nvidia.com/labs/toronto-ai/GEN3C/", "language": "Jupyter Notebook", "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["nv-tlabs/GEN3C"], "name": "nv-tlabs/GEN3C", "platform": ["python"], "pushed_at": "2026-06-15T19:11:34+00:00", "repo": "nv-tlabs/GEN3C", "stars": 1409, "tags": ["video-diffusion", "camera-control", "novel-view-synthesis", "3d-cache", "world-model", "research-code", "cvpr-2025", "gpu", "linux"], "topics": ["3d-graphics", "camera-control", "video-diffusion-model"], "urls": [], "use_cases": ["generate video with precise camera control from a single image", "novel view synthesis from sparse-view images", "extend monocular dynamic video with new camera trajectories", "create temporally consistent video without objects popping in and out", "render dolly zoom and cinematic camera effects on generated video", "video-to-video generation with multi-view inference"], "what_it_is": "GEN3C is NVIDIA's research codebase for a generative video model that achieves precise camera control and temporal 3D consistency using a 3D point-cloud cache. It supports video generation from single images, sparse-view images, or dynamic videos with user-specified camera trajectories.", "when_to_avoid": ["you need a production-ready turnkey video generation product", "you lack a GPU or cannot run diffusion model inference", "you need simple text-to-video without camera control"], "when_to_choose": ["you need 3D-consistent video generation with exact camera pose control", "you want state-of-the-art sparse-view novel view synthesis", "you are doing research on world-consistent video diffusion models"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/gen3c", "repo": "nv-tlabs/GEN3C", "role": "main", "score": 59}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:38.665892+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:38:33.212525+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fcc91891bdc1831e666e2d37267000143805b96e4856ab158e61b106d6627e4d", "fetched_at": "2026-08-28T04:04:38.665892+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/GEN3C"}, {"content_hash": "4f16dba6e4fff0859f1f7835941b6bae9e17834b5295a402fb29c41843d30967", "fetched_at": "2026-08-29T11:52:05.988189+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/GEN3C/"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:38.665892+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:38:33.212525+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fcc91891bdc1831e666e2d37267000143805b96e4856ab158e61b106d6627e4d", "fetched_at": "2026-08-28T04:04:38.665892+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/GEN3C"}, {"content_hash": "4f16dba6e4fff0859f1f7835941b6bae9e17834b5295a402fb29c41843d30967", "fetched_at": "2026-08-29T11:52:05.988189+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/GEN3C/"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:38:33.212525+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fcc91891bdc1831e666e2d37267000143805b96e4856ab158e61b106d6627e4d", "fetched_at": "2026-08-28T04:04:38.665892+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/GEN3C"}, {"content_hash": "4f16dba6e4fff0859f1f7835941b6bae9e17834b5295a402fb29c41843d30967", "fetched_at": "2026-08-29T11:52:05.988189+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/GEN3C/"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:38.665892+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:38.665892+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:38.665892+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:38:33.212525+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fcc91891bdc1831e666e2d37267000143805b96e4856ab158e61b106d6627e4d", "fetched_at": "2026-08-28T04:04:38.665892+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/GEN3C"}, {"content_hash": "4f16dba6e4fff0859f1f7835941b6bae9e17834b5295a402fb29c41843d30967", "fetched_at": "2026-08-29T11:52:05.988189+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/GEN3C/"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:38.665892+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:38.665892+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:38:33.212525+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fcc91891bdc1831e666e2d37267000143805b96e4856ab158e61b106d6627e4d", "fetched_at": "2026-08-28T04:04:38.665892+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/GEN3C"}, {"content_hash": "4f16dba6e4fff0859f1f7835941b6bae9e17834b5295a402fb29c41843d30967", "fetched_at": "2026-08-29T11:52:05.988189+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/GEN3C/"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:38.665892+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:38.665892+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:38.665892+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:38:33.212525+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fcc91891bdc1831e666e2d37267000143805b96e4856ab158e61b106d6627e4d", "fetched_at": "2026-08-28T04:04:38.665892+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/GEN3C"}, {"content_hash": "4f16dba6e4fff0859f1f7835941b6bae9e17834b5295a402fb29c41843d30967", "fetched_at": "2026-08-29T11:52:05.988189+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/GEN3C/"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:38.665892+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:38.665892+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:38:33.212525+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fcc91891bdc1831e666e2d37267000143805b96e4856ab158e61b106d6627e4d", "fetched_at": "2026-08-28T04:04:38.665892+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/GEN3C"}, {"content_hash": "4f16dba6e4fff0859f1f7835941b6bae9e17834b5295a402fb29c41843d30967", "fetched_at": "2026-08-29T11:52:05.988189+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/GEN3C/"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:38:33.212525+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fcc91891bdc1831e666e2d37267000143805b96e4856ab158e61b106d6627e4d", "fetched_at": "2026-08-28T04:04:38.665892+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/GEN3C"}, {"content_hash": "4f16dba6e4fff0859f1f7835941b6bae9e17834b5295a402fb29c41843d30967", "fetched_at": "2026-08-29T11:52:05.988189+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/GEN3C/"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:38:33.212525+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fcc91891bdc1831e666e2d37267000143805b96e4856ab158e61b106d6627e4d", "fetched_at": "2026-08-28T04:04:38.665892+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/GEN3C"}, {"content_hash": "4f16dba6e4fff0859f1f7835941b6bae9e17834b5295a402fb29c41843d30967", "fetched_at": "2026-08-29T11:52:05.988189+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/GEN3C/"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:38:33.212525+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fcc91891bdc1831e666e2d37267000143805b96e4856ab158e61b106d6627e4d", "fetched_at": "2026-08-28T04:04:38.665892+00:00", "kind": "readme", "missing": false, "url": "https://github.com/nv-tlabs/GEN3C"}, {"content_hash": "4f16dba6e4fff0859f1f7835941b6bae9e17834b5295a402fb29c41843d30967", "fetched_at": "2026-08-29T11:52:05.988189+00:00", "kind": "homepage", "missing": false, "url": "https://research.nvidia.com/labs/toronto-ai/GEN3C/"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 87, "longevity": 39, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 548, "days_push": 79, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 59, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}