Appendix A: Complete Implementation Inventory

Full list of all implementations discovered beyond the Top 35 featured in the main report.

NameOrganizationTypeURLNotes
InfinigenPrincetonOpen Sourcegithub.com/princeton-vl/infinigenBlender-based procedural photorealistic worlds
ZiYang WorldGenAcademicOpen Sourcegithub.com/ZiYang-xie/WorldGenText-to-3D scenes, Gaussian splat output
EmbodiedGenHorizon RoboticsOpen Sourcegithub.com/HorizonRobotics/EmbodiedGenSix-module generative engine with physics
stable-dreamfusionashawkeyOpen Sourcegithub.com/ashawkey/stable-dreamfusionPopular SDS implementation
GaussianSplats3DmkkelloggOpen Sourcegithub.com/mkkellogg/GaussianSplats3DThree.js Gaussian splat renderer
WebaverseWebaverseOpen Sourcegithub.com/webaverseAI-first metaverse, procedural worlds
Baidu XiRangBaiduCommercialxirang.baidu.comChinese industrial metaverse
NetEase YaotaiNetEaseCommercialyaotai.163.comChinese virtual events platform
Cluster.muClusterCommercialcluster.muJapan’s largest metaverse platform
Zepeto StudioNaverCommercialstudio.zepeto.meK-pop focused avatar/world creation
Ready Player MeReady Player MeCommercialreadyplayer.meCross-platform avatar system
VRoid StudioPixivFreevroid.comAnime avatar creation
AvaturnAvaturnCommercialavaturn.meRealistic avatar from photos
TafiTafiCommercialmaketafi.comCharacter creation engine

Categories Not Covered in Main Report

Academic/Research

  • Infinigen (Princeton)
  • ZiYang WorldGen
  • stable-dreamfusion

Regional Platforms (Asia)

  • Baidu XiRang (China)
  • NetEase Yaotai (China)
  • Cluster.mu (Japan)
  • Zepeto Studio (Korea)

Avatar-Focused

  • Ready Player Me
  • VRoid Studio
  • Avaturn
  • Tafi

Appendix B: Research Sources

All sources used in this report.

IDTypeTitleAuthor/OrgDateLocation
[1]Research Mining01-scope-definitions.mdWG Analysis2025-12-14research-mining/
[2]Research Mining02-consumer-types.mdWG Analysis2025-12-14research-mining/
[3]Research Mining03-natural-divisions.mdWG Analysis2025-12-14research-mining/
[4]Research Mining04-domain-relationships.mdWG Analysis2025-12-14research-mining/
[5]Research Mining05-surprises.mdWG Analysis2025-12-14research-mining/
[6]Research Mining06-terminology.mdWG Analysis2025-12-14research-mining/
[7]Standards ResearchCONSOLIDATED-FINDINGS.mdWG Analysis2025-12-15standards-deep-dive/
[8]Standards ResearchR1-khr-gaussian-splatting.mdWG Analysis2025-12-15standards-deep-dive/
[9]Deep Researchworld_models_deep_research.mdDecision Framework2025world-models-decision-framework/
[10]SurveyAI-Generative-World-Creation-survey.mdMSF Research2025-12Generative-3D research
[11]Synthesisdeep-research-synthesis.mdResearch Agent2025-12-11metaverse-creator-interop/
[12]Use CaseUSE-CASE-AI-GENERATED-3D-ENVS-FINAL.mdWG Output2026-01output/
[13]SpecificationglTF 2.0 SpecificationKhronos Group2017+registry.khronos.org/glTF
[14]SpecificationC2PA v2.2 SpecificationC2PA Coalition2025-05c2pa.org
[15]SpecificationOpenUSD DocumentationAOUSD2024openusd.org
[16]BlogKhronos 3DGS AnnouncementKhronos/OGC2025-08khronos.org/blog
[17]GitHubKHR_gaussian_splatting PR #2490Khronos2025github.com/KhronosGroup/glTF

Source Categories

Working Group Analysis

Sources [1]-[8] - Internal research mining and analysis conducted by the AI x Metaverse Working Group

Deep Research

Sources [9]-[11] - Extended research synthesis and decision frameworks

Official Specifications

Sources [13]-[15] - Published specifications from SDOs

Community/GitHub

Sources [16]-[17] - Public discussions and draft specifications


Appendix C: Methodology Notes

Research Collection

AspectDetail
Models usedClaude Opus 4.5, Gemini 1.5 Pro (historical research)
Queries executed50+ deep research queries across 6 months
Date rangeDecember 2024 - January 2026
Primary sourcesGitHub repositories, SDO specifications, company documentation, academic papers

Maturity Assessment

AspectDetail
Assessment dateJanuary 2026
AssessorAI x Metaverse Working Group
ValidationCross-referenced against multiple research agents; verified against primary sources
Implementation countsValidated against public metrics

SRL Score Assignment

SRL scores were assigned using the following process:

  1. Evidence Collection - Gather data on funding, user counts, deployment status
  2. Level Mapping - Map evidence to SRL scale criteria
  3. Cross-Validation - Compare against peer implementations
  4. Consensus Review - Working Group review and adjustment

Limitations

LimitationImpactMitigation
Vendor documentation may be aspirationalSome capabilities may be overstatedCross-reference with user reports
SRL scores are estimatesSome subjectivity involvedDocument evidence for each score
Rapidly evolving fieldFindings may become outdatedPlan 6-month refresh cycle
Limited SDO accessMay miss unpublished discussionsEngage through MSF liaison channels

Appendix D: Change Log

VersionDateChanges
1.22026-01-26Fixed markdown formatting for GitHub/Obsidian compliance
1.12026-01-26Fixed citation format consistency; updated Appendix B with full source paths
1.02026-01-26Initial release

Appendix E: Quality Checklist

Before publication, the following items were verified:

  • All SRL scores have cited evidence
  • All Top 10 implementations have complete profiles
  • All gaps have severity ratings
  • All recommendations have rationale
  • No [NEEDS CITATION] flags remain
  • Executive summary reflects body content
  • All URLs verified accessible (pending verification)
  • Terminology table complete
  • SDO coordination map current

Appendix F: Glossary Quick Reference

TermDefinition
World ModelAI system that understands dynamics and generates interactive simulations
3DGS3D Gaussian Splatting - neural representation using Gaussian particles
SRLStandards Readiness Level - maturity assessment scale
glTFGL Transmission Format - Khronos 3D interchange standard
USDUniversal Scene Description - AOUSD scene interchange standard
C2PACoalition for Content Provenance and Authenticity
MSFMetaverse Standards Forum
KHRKhronos ratified extension prefix
NavmeshNavigation mesh - geometry for NPC pathfinding
PBRPhysically Based Rendering - material workflow standard

Appendix G: Contact and Feedback

Report Maintainer: AI x Metaverse Working Group

Feedback Channels:

  • MSF internal channels
  • Working Group meetings
  • GitHub issues (if published)

Next Scheduled Review: Q3 2026