Library/scenesmith
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nepfaff/scenesmith

scenesmith

Code for "SceneSmith: Agentic Generation of Simulation-Ready Indoor Scenes"

Builder

nepfaff

nepfaff

nepfaff • individual

Stars

344

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Forks

19

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Feb 8, 2026

Project creation date

README Summary

SceneSmith is a research project that uses AI agents to automatically generate realistic indoor scenes that are ready for simulation environments. The system combines language models with 3D scene understanding to create furnished rooms and spaces with proper object placement and realistic layouts. This work represents an advancement in automated scene generation for robotics simulation and virtual environments.

AI Dev Skills

Unmapped

Agentic AI Systems3D Scene GenerationComputer VisionRobotics SimulationSpatial ReasoningMulti-Agent CoordinationProcedural Content Generation3D Computer Graphics

Tags

Agentic AI Systems3D Scene GenerationComputer VisionRobotics SimulationSpatial ReasoningMulti-Agent CoordinationProcedural Content Generation3D Computer Graphics3DSimulation-AI IntegrationRoboticsVirtual RealitySimulation Environment DesignSimulation Environment CreationAgentic AIResearch EnvironmentSimulation SoftwareSelf-hostedProcedural AI GenerationAutomated 3D Scene GenerationSpatial DataRobotics Training Data GenerationMulti-Agent SystemsGamingVirtual World PopulationPython

Taxonomy

Recent Activity

Updated 1 months ago

7 Days

0

30 Days

0

90 Days

4

Quality

research
Quality
medium
Maturity
research

Categories

Search & KnowledgePrimaryOther AI / MLDev Tools & AutomationLearning ResourcesSpatial & XRRoboticsAI AgentsModel TrainingComputer Vision

PM Skills

Product DiscoveryUser Experience

Languages

Python100.0%

Timeline

Project created
Feb 8, 2026
Forked
Feb 14, 2026
Your last push
1 months ago
Upstream last push
1 months ago
Tracked since
Feb 13, 2026

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