✨Kinematify: Open-Vocabulary Synthesis of High-DoF Articulated Objects
📝 Summary:
Kinematify is an automated framework that synthesizes high-DoF articulated objects from images or text. It infers kinematic topologies and estimates joint parameters, combining MCTS search with geometry-driven optimization for physically consistent models.
🔹 Publication Date: Published on Nov 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.01294
• PDF: https://arxiv.org/pdf/2511.01294
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#3DModeling #ComputerVision #Robotics #AIResearch #Kinematics
📝 Summary:
Kinematify is an automated framework that synthesizes high-DoF articulated objects from images or text. It infers kinematic topologies and estimates joint parameters, combining MCTS search with geometry-driven optimization for physically consistent models.
🔹 Publication Date: Published on Nov 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.01294
• PDF: https://arxiv.org/pdf/2511.01294
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✓ https://t.me/DataScienceT
#3DModeling #ComputerVision #Robotics #AIResearch #Kinematics
✨NURBGen: High-Fidelity Text-to-CAD Generation through LLM-Driven NURBS Modeling
📝 Summary:
NURBGen generates high-fidelity 3D CAD models directly from text using Non-Uniform Rational B-Splines NURBS. It fine-tunes an LLM to translate text into NURBS parameters, enabling robust modeling with a hybrid representation. NURBGen outperforms existing text-to-CAD methods in geometric fidelity ...
🔹 Publication Date: Published on Nov 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.06194
• PDF: https://arxiv.org/pdf/2511.06194
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#TextToCAD #LLM #NURBS #3DModeling #GenerativeAI
📝 Summary:
NURBGen generates high-fidelity 3D CAD models directly from text using Non-Uniform Rational B-Splines NURBS. It fine-tunes an LLM to translate text into NURBS parameters, enabling robust modeling with a hybrid representation. NURBGen outperforms existing text-to-CAD methods in geometric fidelity ...
🔹 Publication Date: Published on Nov 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.06194
• PDF: https://arxiv.org/pdf/2511.06194
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✓ https://t.me/DataScienceT
#TextToCAD #LLM #NURBS #3DModeling #GenerativeAI
✨MajutsuCity: Language-driven Aesthetic-adaptive City Generation with Controllable 3D Assets and Layouts
📝 Summary:
MajutsuCity is a language-driven framework for generating 3D urban scenes, offering high structural consistency, stylistic diversity, and controllability. It uses a four-stage pipeline and an interactive editing agent, significantly outperforming existing methods.
🔹 Publication Date: Published on Nov 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.20415
• PDF: https://arxiv.org/pdf/2511.20415
• Project Page: https://longhz140516.github.io/MajutsuCity/
• Github: https://github.com/LongHZ140516/MajutsuCity
==================================
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✓ https://t.me/DataScienceT
#GenerativeAI #3DModeling #CityGeneration #ComputerGraphics #DeepLearning
📝 Summary:
MajutsuCity is a language-driven framework for generating 3D urban scenes, offering high structural consistency, stylistic diversity, and controllability. It uses a four-stage pipeline and an interactive editing agent, significantly outperforming existing methods.
🔹 Publication Date: Published on Nov 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.20415
• PDF: https://arxiv.org/pdf/2511.20415
• Project Page: https://longhz140516.github.io/MajutsuCity/
• Github: https://github.com/LongHZ140516/MajutsuCity
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#GenerativeAI #3DModeling #CityGeneration #ComputerGraphics #DeepLearning
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