ArtiCAD presents the first training-free multi-agent framework that generates articulated, editable CAD assemblies from text or images by predicting assembly relationships early and using validation with rollback.
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6 Pith papers cite this work. Polarity classification is still indexing.
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KDH-CAD reaches 92.6% accuracy on mechanical part classification with only 250 training samples by integrating foundation models with domain knowledge and minimal data calibration without fine-tuning.
PointLLM-R is a 3D multimodal model fine-tuned on the new 55K-sample PoCoTI CoT dataset built via VLM-based refinement and Human-in-the-Loop Prompt Optimization, achieving SOTA on generative 3D classification and captioning.
CADDesigner is an LLM agent that generates conceptual CAD models from text and sketches via requirement analysis, the ECIP paradigm, and iterative visual feedback, outperforming baselines in experiments.
The paper provides the first comprehensive survey of multimodal chain-of-thought reasoning, including foundational concepts, a taxonomy of methodologies, application analyses, challenges, and future directions.
citing papers explorer
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ArtiCAD: Articulated CAD Assembly Design via Multi-Agent Code Generation
ArtiCAD presents the first training-free multi-agent framework that generates articulated, editable CAD assemblies from text or images by predicting assembly relationships early and using validation with rollback.
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KDH-CAD: Knowledge-data hybrid CAD learning under data scarcity
KDH-CAD reaches 92.6% accuracy on mechanical part classification with only 250 training samples by integrating foundation models with domain knowledge and minimal data calibration without fine-tuning.
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PointLLM-R: Enhancing 3D Point Cloud Reasoning via Chain-of-Thought
PointLLM-R is a 3D multimodal model fine-tuned on the new 55K-sample PoCoTI CoT dataset built via VLM-based refinement and Human-in-the-Loop Prompt Optimization, achieving SOTA on generative 3D classification and captioning.
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CADDesigner: Conceptual CAD Model Generation with a General-Purpose Agent
CADDesigner is an LLM agent that generates conceptual CAD models from text and sketches via requirement analysis, the ECIP paradigm, and iterative visual feedback, outperforming baselines in experiments.
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Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
The paper provides the first comprehensive survey of multimodal chain-of-thought reasoning, including foundational concepts, a taxonomy of methodologies, application analyses, challenges, and future directions.
- Memory-Augmented Reinforcement Learning Agent for CAD Generation