ENT-00001444 · Foundation Model

CycleGAN

CycleGAN is a image-to-image translation model associated with Berkeley AI Research.

Level IV — ConnectedDocumentedStructured

Human readable record

Overview

CycleGAN is a image-to-image translation model associated with Berkeley AI Research. The entity is included because it represents a distinct public model, architecture, benchmark, dataset or AI research system with an identifiable source base and documented role.

Timeline

2017CycleGAN public release or documentation
CycleGAN appears in public documentation as a image-to-image translation model associated with Berkeley AI Research.

Capabilities

Documented AI capabilityResearch or product source anchorModel or system lineageRelationship mapping

Known limitations

Capabilities depend on version, training data, deployment configuration and evaluation setting.The record documents public identity and source context rather than private implementation details.

Technical and registry detail

Technical description

Structured record for CycleGAN. The technical layer captures creator, release period, source anchor, system category, capability profile, limitations and relationships to adjacent models, platforms, benchmarks or research systems.

Controlled tags

Foundation ModelDocumented EntityEstablishedBatch 03 Candidate

Relationship graph

CycleGAN

Created or maintained byBerkeley AI Research

CycleGAN is associated with Berkeley AI Research.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

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    "url": "entity.php?id=ENT-00001444",
    "sameAs": "https://junyanz.github.io/CycleGAN/",
    "lxkeysWorld": {
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        "firstPublicAppearance": "2017",
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        "spatiumIndex": {
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        "lxCalendarium": {
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            "created_utc": "2026-06-16T23:59:14+00:00",
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            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
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        "capabilities": [
            "Documented AI capability",
            "Research or product source anchor",
            "Model or system lineage",
            "Relationship mapping"
        ],
        "limitations": [
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        "tags": [
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        "timeline": [
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