SceneCode compiles natural language prompts into executable code programs that generate editable, articulated indoor scenes for physics simulation.
Blenderllm: Training large language models for computer-aided design with self-improvement
3 Pith papers cite this work. Polarity classification is still indexing.
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CADBench is a multimodal benchmark for CAD program generation that shows specialized mesh-to-CAD models outperform general vision-language models but degrade with complexity and modality shifts.
BlenderRAG improves LLM-generated Blender code for 3D objects by retrieving semantically similar examples from a curated multimodal dataset of 500 expert-validated cases.
citing papers explorer
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SceneCode: Executable World Programs for Editable Indoor Scenes with Articulated Objects
SceneCode compiles natural language prompts into executable code programs that generate editable, articulated indoor scenes for physics simulation.
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CADBench: A Multimodal Benchmark for AI-Assisted CAD Program Generation
CADBench is a multimodal benchmark for CAD program generation that shows specialized mesh-to-CAD models outperform general vision-language models but degrade with complexity and modality shifts.
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BlenderRAG: High-Fidelity 3D Object Generation via Retrieval-Augmented Code Synthesis
BlenderRAG improves LLM-generated Blender code for 3D objects by retrieving semantically similar examples from a curated multimodal dataset of 500 expert-validated cases.