VQ
ENT-00002115 · Système IA

VQGAN

VQGAN is a AI system associated with Heidelberg University, classified in LXKeys.world as Specialized AI System.

Niveau V PersistantActifDocumenté
Fiche publique

Vue d’ensemble

VQGAN is an AI model or research system associated with Heidelberg University. It is documented as vector-quantized generative adversarial model.

Chronologie

  1. 2020First public appearance

    VQGAN entered the documented public record in 2020. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

AI-enabled task executionModel or workflow integrationInput/output transformationPublic system documentation

Limites connues

Model behavior depends on version, deployment settings and usage context.Capabilities should be interpreted through the linked model card, official documentation or research source.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for VQGAN. Entity type: AI System; classification: Specialized AI System; creator/organization context: CompVis. Canonical source anchor: https://github.com/CompVis/taming-transformers. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Tags contrôlés

AI HistoryResearch SystemMachine LearningHistorical
Graphe relationnel

VQGAN

Ouvrir dans le graphe complet
VQGAN
CréateurSortante
CompVis

CompVis is documented as creator, contributor or originating team for VQGAN.

Organisation associéeSortante
Heidelberg University

Heidelberg University is the organization or institutional context associated with VQGAN.

ClassificationSortante
Historical / Research AI System

VQGAN is classified as Historical / Research AI System.

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00002115",
    "name": "VQGAN",
    "alternateName": [],
    "additionalType": {
        "category": "AI Systems",
        "type": "AI System",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "VQGAN is a AI system associated with Heidelberg University, classified in LXKeys.world as Specialized AI System.",
    "creator": "CompVis",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002115&lang=fr",
    "sameAs": "https://github.com/CompVis/taming-transformers",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002115",
        "kind": "AI Systems",
        "type": "AI System",
        "subtype": "",
        "classification": "Specialized AI System",
        "organization": "Heidelberg University",
        "originContext": "AI history and research",
        "firstPublicAppearance": "2020",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 88,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 25,
            "level": "Level V Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:33:48+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:33:48+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "facts": [],
        "capabilities": [
            "AI-enabled task execution",
            "Model or workflow integration",
            "Input/output transformation",
            "Public system documentation"
        ],
        "limitations": [
            "Model behavior depends on version, deployment settings and usage context.",
            "Capabilities should be interpreted through the linked model card, official documentation or research source."
        ],
        "tags": [
            "AI History",
            "Research System",
            "Machine Learning",
            "Historical"
        ],
        "timeline": [
            {
                "date": "2020",
                "title": "First public appearance",
                "description": "VQGAN entered the documented public record in 2020. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/CompVis/taming-transformers",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "CompVis",
                "type": "Creator",
                "description": "CompVis is documented as creator, contributor or originating team for VQGAN.",
                "evidence_level": "documentary"
            },
            {
                "target": "Heidelberg University",
                "type": "Associated organization",
                "description": "Heidelberg University is the organization or institutional context associated with VQGAN.",
                "evidence_level": "documentary"
            },
            {
                "target": "Historical / Research AI System",
                "type": "Classification",
                "description": "VQGAN is classified as Historical / Research AI System.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://github.com/CompVis/taming-transformers",
                "source_type": "Research / Reference Source",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
Preuves

Contribuer à cette entrée

Soumettez une source, une correction ou un commentaire. Les modifications publiques restent modérées.

Soumettre une preuve ou un commentaire

Commentaires approuvés

Aucun commentaire public approuvé pour le moment.