{"adoption": {"forks": 400, "observed_at": "2026-08-28T04:07:46.076158+00:00", "stars": 3148}, "canonical_url": "https://ross.abutalabs.com/products/nafnet", "card": {"archived": false, "artifact_type": "library", "description": "The state-of-the-art image restoration model without nonlinear activation functions.", "domain": ["computer-vision", "image-processing", "deep-learning", "machine-learning"], "enriched": true, "function": ["image-processing", "machine-learning", "deep-learning"], "health_score": 20, "homepage": null, "language": "Python", "license": "NOASSERTION", "license_family": "other", "maturity": "stable", "member_repos": ["megvii-research/NAFNet"], "name": "megvii-research/NAFNet", "platform": ["python"], "pushed_at": "2024-07-03T13:26:24+00:00", "repo": "megvii-research/NAFNet", "stars": 3148, "tags": ["image-restoration", "deblurring", "denoising", "super-resolution", "pytorch", "eccv2022", "low-level-vision", "gpu"], "topics": ["deblur", "denoise", "stereo-super-resolution", "eccv2022", "image-deblurring", "image-denoising", "image-restoration", "low-level-vision", "pytorch"], "urls": [], "use_cases": ["remove blur from photos", "denoise noisy images", "upscale stereo image pairs", "train a custom image restoration model", "benchmark restoration models on GoPro or SIDD", "restore low-quality images with a deep learning model"], "what_it_is": "NAFNet is the official PyTorch implementation of a state-of-the-art image restoration network that removes nonlinear activation functions. It provides pretrained models for image deblurring, denoising, and stereo image super-resolution.", "when_to_avoid": ["you need a general-purpose image editor rather than a research model", "you cannot run GPU inference", "you need a permissively licensed model (license is non-standard)"], "when_to_choose": ["you need state-of-the-art deblurring or denoising quality", "you want a simple, efficient restoration baseline in PyTorch", "you work on stereo image super-resolution"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/nafnet", "repo": "megvii-research/NAFNet", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:07:46.076158+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T18:45:35.434279+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff22fd1bc832db852cc4da12a75ad73533dff8b2f6ee44470ae832e7dbb40c7f", "fetched_at": "2026-08-28T04:07:46.076158+00:00", "kind": "readme", "missing": false, "url": "https://github.com/megvii-research/NAFNet"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:07:46.076158+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T18:45:35.434279+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff22fd1bc832db852cc4da12a75ad73533dff8b2f6ee44470ae832e7dbb40c7f", "fetched_at": "2026-08-28T04:07:46.076158+00:00", "kind": "readme", "missing": false, "url": "https://github.com/megvii-research/NAFNet"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T18:45:35.434279+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff22fd1bc832db852cc4da12a75ad73533dff8b2f6ee44470ae832e7dbb40c7f", "fetched_at": "2026-08-28T04:07:46.076158+00:00", "kind": "readme", "missing": false, "url": "https://github.com/megvii-research/NAFNet"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:07:46.076158+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:07:46.076158+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:07:46.076158+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T18:45:35.434279+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff22fd1bc832db852cc4da12a75ad73533dff8b2f6ee44470ae832e7dbb40c7f", "fetched_at": "2026-08-28T04:07:46.076158+00:00", "kind": "readme", "missing": false, "url": "https://github.com/megvii-research/NAFNet"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:07:46.076158+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:07:46.076158+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T18:45:35.434279+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff22fd1bc832db852cc4da12a75ad73533dff8b2f6ee44470ae832e7dbb40c7f", "fetched_at": "2026-08-28T04:07:46.076158+00:00", "kind": "readme", "missing": false, "url": "https://github.com/megvii-research/NAFNet"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:07:46.076158+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:07:46.076158+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:07:46.076158+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T18:45:35.434279+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff22fd1bc832db852cc4da12a75ad73533dff8b2f6ee44470ae832e7dbb40c7f", "fetched_at": "2026-08-28T04:07:46.076158+00:00", "kind": "readme", "missing": false, "url": "https://github.com/megvii-research/NAFNet"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:07:46.076158+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:07:46.076158+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T18:45:35.434279+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff22fd1bc832db852cc4da12a75ad73533dff8b2f6ee44470ae832e7dbb40c7f", "fetched_at": "2026-08-28T04:07:46.076158+00:00", "kind": "readme", "missing": false, "url": "https://github.com/megvii-research/NAFNet"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T18:45:35.434279+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff22fd1bc832db852cc4da12a75ad73533dff8b2f6ee44470ae832e7dbb40c7f", "fetched_at": "2026-08-28T04:07:46.076158+00:00", "kind": "readme", "missing": false, "url": "https://github.com/megvii-research/NAFNet"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T18:45:35.434279+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff22fd1bc832db852cc4da12a75ad73533dff8b2f6ee44470ae832e7dbb40c7f", "fetched_at": "2026-08-28T04:07:46.076158+00:00", "kind": "readme", "missing": false, "url": "https://github.com/megvii-research/NAFNet"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T18:45:35.434279+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff22fd1bc832db852cc4da12a75ad73533dff8b2f6ee44470ae832e7dbb40c7f", "fetched_at": "2026-08-28T04:07:46.076158+00:00", "kind": "readme", "missing": false, "url": "https://github.com/megvii-research/NAFNet"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "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": 1606, "days_push": 791, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}