GWM (Gaussian World Models)

https://gaussian-world-model.github.io/

Encodes scene into 3D Gaussian Splat representations via 3D VAE; latent Diffusion Transformer predicts future Gaussian Splat states conditioned on robot actions. 3D scene representation persists across time steps as structural scene memory rather than flat features.

Stale. no commits since 2025-10 Source · Alternatives and migration notes →

Stale · Verified 2026-10-28 · fresh as of 2026-10-28 · 24 cited facts, 0 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T3
Latest release
not applicable — not OSS fix
License
MIT repo fix
Pricing
searched not found fix
Funding
searched not found fix
Freshness
2026-10-28 fix
Layer
agent-infra repo fix
Licensing
open-source repo fix

Memory taxonomy

storage
parametric
retrieval
parametric-recall
persistence
session
update
overwrite
unit
scene-graph
governance
inspectable
conflict
overwrite

When to use

Optimised for: real-time perception + spatial reasoning + multi-modal sensor fusion

Anti-fit: not for non-embodied / non-physical use cases

Pros & cons

Pros

Efficient world-model representation using Gaussian distributions over states.

Cons

Research-stage; expressiveness limited by Gaussian assumption.

Claims & capabilities

ICCV 2025. Action-conditioned 3D video prediction; visual representation learning for imitation; neural simulator for model-based RL.

Technical surface

API surface
not applicable — research paper
Backend storage
not applicable — research paper
Deployment
searched not found
Embedding model
not applicable — research paper
Multi-tenancy
not applicable — research paper
MCP
not applicable — research paper, no deployed product
A2A
not applicable — research paper, no deployed product
OpenTelemetry
not applicable — research paper, no deployed product

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Sources (23 cited facts, 0 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-22
    • License “not applicable — not OSS” → “MIT” source
    #219