Co-DSL: Human-LLM Co-design of Reusable Spatial Concepts for Layout Generation
cs.GR, cs.AI, cs.CV
Submitted: 2026-10-11
Updated: 2026-10-11
Sources
- Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases
- BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement
- LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
- Procedural Scene Programs for Open-Universe Scene Generation: LLM-Free Error Correction via Program Search
- ShapeLib: Designing a library of programmatic 3D shape abstractions with Large Language Models
- GRAINS: Generative Recursive Autoencoders for INdoor Scenes
- ATISS: Autoregressive Transformers for Indoor Scene Synthesis
- LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models
- SceneMotifCoder: Example-driven Visual Program Learning for Generating 3D Object Arrangements
- DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- The Scene Language: Representing Scenes with Programs, Words, and Embeddings
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