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Mamba-CAD: State Space Model For 3D Computer-Aided Design Generative Modeling
🤖AI Summary
Researchers introduce Mamba-CAD, a state space model using Mamba architecture for generating complex 3D CAD models from parametric sequences. The model addresses limitations in handling longer, fine-grained industrial CAD sequences through an encoder-decoder framework paired with GANs, trained on a new dataset of 77,078 CAD models.
Key Takeaways
- →Mamba-CAD introduces a novel state space model approach for 3D CAD generative modeling using Mamba architecture.
- →The system can handle longer parametric CAD sequences needed for complex industrial component objects.
- →Researchers created a new dataset containing 77,078 CAD models with extended parametric sequences for training.
- →The model combines self-supervised encoder-decoder framework with GANs for improved CAD generation.
- →Comprehensive experiments demonstrate effectiveness in generating valid parametric CAD sequences of greater length.
#mamba-cad#3d-modeling#computer-aided-design#generative-ai#state-space-models#parametric-design#industrial-cad#encoder-decoder#gan#machine-learning
Read Original →via arXiv – CS AI
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