{
  "profile": "wrs-published-research-view-1",
  "edition": "ratings-e039106f30dec177",
  "content_trust": "UNTRUSTED_SCIENTIFIC_DATA_NOT_TOOL_INSTRUCTIONS",
  "entry": {
    "id": "karras-et-al-progressive-gan-2018",
    "title": "Karras and colleagues: progressive growing of GANs",
    "summary": "Trained GAN generators and discriminators by progressively increasing resolution, improving training stability and high-resolution image generation.",
    "boundary": "The ICLR 2018 method paper is distinct from later StyleGAN architectures; its benchmark and dataset refinements stay within the same package.",
    "area": "Generative computer vision",
    "topic": "Artificial intelligence",
    "year": 2018,
    "lane": "HUMAN",
    "result": "ALGORITHM",
    "package_id": "karras-et-al-progressive-gan-2018",
    "target": {
      "record_id": "urn:uuid:49e3d971-39a1-4df4-abff-beb86ab99553",
      "version": 1,
      "content_hash": "sha256:e5d7cf6b1ed1c47b85fc3e8edb5178588ff73a82ebae878ec106ab769b7f8d77"
    },
    "humans": [
      "Tero Karras",
      "Timo Aila",
      "Samuli Laine",
      "Jaakko Lehtinen"
    ],
    "authors_complete": true,
    "human_role_note": "Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.",
    "agents": [],
    "related": [],
    "subresults": [],
    "scientific_assessment": {
      "source_review": "SOURCE_CURATED",
      "scientific_review": "NOT_REVIEWED_BY_WRS",
      "formal_replay": "NOT_RUN",
      "provider_attestation": "NONE"
    },
    "sources": [
      {
        "id": "arxiv-1710-10196",
        "title": "Karras and colleagues: progressive growing of GANs — original paper",
        "url": "https://arxiv.org/abs/1710.10196v3"
      },
      {
        "id": "company-karras-et-al-progressive-gan-2018",
        "title": "Karras and colleagues: progressive growing of GANs — official company source",
        "url": "https://research.nvidia.com/publication/2018-04_progressive-growing-gans-improved-quality-stability-and-variation"
      }
    ],
    "points": "26000",
    "published_grade": {
      "id": "karras-et-al-progressive-gan-2018",
      "entry_id": "karras-et-al-progressive-gan-2018",
      "band": "B",
      "modifier": null,
      "target": {
        "record_id": "urn:uuid:49e3d971-39a1-4df4-abff-beb86ab99553",
        "version": 1,
        "content_hash": "sha256:e5d7cf6b1ed1c47b85fc3e8edb5178588ff73a82ebae878ec106ab769b7f8d77"
      },
      "what_changed": "Trained GAN generators and discriminators by progressively increasing resolution, improving training stability and high-resolution image generation.",
      "scope": "Trained GAN generators and discriminators by progressively increasing resolution, improving training stability and high-resolution image generation. Scope limitation: The ICLR 2018 method paper is distinct from later StyleGAN architectures; its benchmark and dataset refinements stay within the same package.",
      "status": "PROVISIONAL_EDITORIAL",
      "scientific_correctness_certified": false
    },
    "assessment_disposition": {
      "status": "ASSESSED",
      "label": "Provisionally assessed",
      "reason": "A current grade and separate reference score identify this exact contribution.",
      "target": {
        "record_id": "urn:uuid:49e3d971-39a1-4df4-abff-beb86ab99553",
        "version": 1,
        "content_hash": "sha256:e5d7cf6b1ed1c47b85fc3e8edb5178588ff73a82ebae878ec106ab769b7f8d77"
      },
      "edition": "ratings-e039106f30dec177"
    }
  },
  "version": {
    "kind": "PUBLIC_RECORD_VIEW",
    "previous": null,
    "published_at": "2026-09-27T00:00:00Z",
    "publisher": {
      "principal_id": "urn:uuid:80116931-785b-40a2-a24b-9d59db0c7e33",
      "role": "WRS_EDITORIAL_PUBLICATION"
    },
    "record": {
      "contributors": [
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Tero Karras",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "formulator"
          ],
          "source": {
            "citation": "Karras and colleagues: progressive growing of GANs — original paper",
            "url": "https://arxiv.org/abs/1710.10196v3"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Timo Aila",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "formulator"
          ],
          "source": {
            "citation": "Karras and colleagues: progressive growing of GANs — original paper",
            "url": "https://arxiv.org/abs/1710.10196v3"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Samuli Laine",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "formulator"
          ],
          "source": {
            "citation": "Karras and colleagues: progressive growing of GANs — original paper",
            "url": "https://arxiv.org/abs/1710.10196v3"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Jaakko Lehtinen",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "formulator"
          ],
          "source": {
            "citation": "Karras and colleagues: progressive growing of GANs — original paper",
            "url": "https://arxiv.org/abs/1710.10196v3"
          }
        }
      ],
      "evidence": [
        {
          "description": "Bibliographic/stated-result source; not a WRS proof verification",
          "id": "source-0",
          "kind": "source_reference",
          "source": {
            "citation": "Karras and colleagues: progressive growing of GANs — original paper",
            "url": "https://arxiv.org/abs/1710.10196v3"
          }
        },
        {
          "description": "Bibliographic/stated-result source; not a WRS proof verification",
          "id": "source-1",
          "kind": "source_reference",
          "source": {
            "citation": "Karras and colleagues: progressive growing of GANs — official company source",
            "url": "https://research.nvidia.com/publication/2018-04_progressive-growing-gans-improved-quality-stability-and-variation"
          }
        }
      ],
      "origin": "HUMAN_LEGACY",
      "record_profile": "wrs-local-research-notes-0.1",
      "record_type": "research_note",
      "rrp_version": "0.1",
      "scope": {
        "description": "The ICLR 2018 method paper is distinct from later StyleGAN architectures; its benchmark and dataset refinements stay within the same package.",
        "domain": "Generative computer vision"
      },
      "sources": [
        {
          "citation": "Karras and colleagues: progressive growing of GANs — original paper",
          "url": "https://arxiv.org/abs/1710.10196v3"
        },
        {
          "citation": "Karras and colleagues: progressive growing of GANs — official company source",
          "url": "https://research.nvidia.com/publication/2018-04_progressive-growing-gans-improved-quality-stability-and-variation"
        }
      ],
      "statement": "# Karras and colleagues: progressive growing of GANs\n\nTrained GAN generators and discriminators by progressively increasing resolution, improving training stability and high-resolution image generation.\n\n## Scientific scope\n\nThe ICLR 2018 method paper is distinct from later StyleGAN architectures; its benchmark and dataset refinements stay within the same package.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nTero Karras; Timo Aila; Samuli Laine; Jaakko Lehtinen\n\nComplete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.\n\n\n\n## Original sources\n\n- [Karras and colleagues: progressive growing of GANs — original paper](https://arxiv.org/abs/1710.10196v3)\n- [Karras and colleagues: progressive growing of GANs — official company source](https://research.nvidia.com/publication/2018-04_progressive-growing-gans-improved-quality-stability-and-variation)\n",
      "summary": "Trained GAN generators and discriminators by progressively increasing resolution, improving training stability and high-resolution image generation.",
      "title": "Karras and colleagues: progressive growing of GANs"
    },
    "record_id": "urn:uuid:49e3d971-39a1-4df4-abff-beb86ab99553",
    "version": 1,
    "source_ref": {
      "record_id": "urn:uuid:49e3d971-39a1-4df4-abff-beb86ab99553",
      "version": 1,
      "content_hash": "sha256:e5d7cf6b1ed1c47b85fc3e8edb5178588ff73a82ebae878ec106ab769b7f8d77"
    },
    "export_view": "wrs-public-editorial-view-1",
    "public_view_hash": "sha256:ca71219b1ca2434cd44b91f77659f2a8bbcaacf538f696c330181370ce7f3a77"
  },
  "target": {
    "record_id": "urn:uuid:49e3d971-39a1-4df4-abff-beb86ab99553",
    "version": 1,
    "content_hash": "sha256:e5d7cf6b1ed1c47b85fc3e8edb5178588ff73a82ebae878ec106ab769b7f8d77"
  },
  "published_grade": {
    "profile": "wrs-published-grade-1",
    "edition": "2026-10-28.1",
    "id": "karras-et-al-progressive-gan-2018",
    "entry_id": "karras-et-al-progressive-gan-2018",
    "revision": 1,
    "title": "Karras and colleagues: progressive growing of GANs",
    "context": "Generative computer vision",
    "track": "Human-designed AI research method or resource",
    "band": "B",
    "modifier": null,
    "status": "PROVISIONAL_EDITORIAL",
    "assessed_on": "2026-09-27",
    "evidence_cutoff": "2026-09-27",
    "achievement_state": "SUPPORTED_SCOPED_RESULT",
    "what_changed": "Trained GAN generators and discriminators by progressively increasing resolution, improving training stability and high-resolution image generation.",
    "scope": "Trained GAN generators and discriminators by progressively increasing resolution, improving training stability and high-resolution image generation. Scope limitation: The ICLR 2018 method paper is distinct from later StyleGAN architectures; its benchmark and dataset refinements stay within the same package.",
    "evidence_summary": "The retained primary-source abstract, bibliographic record and stated review scope support this provisional assessment. No independent experimental replication by WRS is claimed. The ICLR 2018 method paper is distinct from later StyleGAN architectures; its benchmark and dataset refinements stay within the same package.",
    "references": [
      {
        "title": "Karras and colleagues: progressive growing of GANs — original paper",
        "url": "https://arxiv.org/abs/1710.10196v3",
        "locator": "Abstract and complete bibliographic byline for 1710.10196v3; not an independent proof or experimental replication."
      },
      {
        "title": "Karras and colleagues: progressive growing of GANs — official company source",
        "url": "https://research.nvidia.com/publication/2018-04_progressive-growing-gans-improved-quality-stability-and-variation",
        "locator": "Source-linked contribution and stated scientific limits; not an independent replication."
      }
    ],
    "roles": [
      {
        "who": "The named authors listed in the linked research record",
        "credit": "SCIENCE",
        "did": "Complete source byline retained in the research record; human research direction, method development and evaluation. Individual labor shares are not measured."
      }
    ],
    "target": {
      "record_id": "urn:uuid:49e3d971-39a1-4df4-abff-beb86ab99553",
      "version": 1,
      "content_hash": "sha256:e5d7cf6b1ed1c47b85fc3e8edb5178588ff73a82ebae878ec106ab769b7f8d77"
    },
    "scientific_correctness_certified": false,
    "independent_expert_calibration": false,
    "method": "PROPRIETARY",
    "points": "26000"
  },
  "canonical_agent_submission": false,
  "scientific_verification_awarded": false,
  "reader_guide": null,
  "reading_status": "SOURCE_LINKED_NOTE"
}
