content.raw: 🦙New NVIDIA paper: LLaMA-Mesh 🦙
content.type: text
content.value: 🦙New NVIDIA paper: LLaMA-Mesh 🦙
content.type: new_line
content.type: new_line
content.raw: We enable large language models to generate and understand 3D meshes by representing them as text and fine-tuning. This unifies the 3D and text modalities in a single model and preserves language abilities, unlocking conversational 3D creation with mesh understanding.
content.type: text
content.value: We enable large language models to generate and understand 3D meshes by representing them as text and fine-tuning. This unifies the 3D and text modalities in a single model and preserves language abilities, unlocking conversational 3D creation with mesh understanding.
content.type: new_line
content.type: new_line
content.raw: 🔎 Project Page: 
content.type: text
content.value: 🔎 Project Page: 
content.href: https://research.nvidia.com/labs/toronto-ai/LLaMA-Mesh/
content.raw: https://research.nvidia.com/labs/toronto-ai/LLaMA-Mesh/
content.type: link
content.type: new_line
content.raw: 🕹️ Interactive Demo: 
content.type: text
content.value: 🕹️ Interactive Demo: 
content.raw: https://huggingface.co/spaces/Zhengyi/LLaMA-Mesh
content.id: Zhengyi/LLaMA-Mesh
content.type: space
content.type: resource
content.url: https://huggingface.co/spaces/Zhengyi/LLaMA-Mesh
content.raw:  (courtesy of HuggingFace and Gradio)
content.type: text
content.value:  (courtesy of HuggingFace and Gradio)
content.type: new_line
content.raw: 📖 Full Paper: 
content.type: text
content.value: 📖 Full Paper: 
content.href: https://arxiv.org/abs/2411.09595
content.raw: https://arxiv.org/abs/2411.09595
content.type: link
content.type: text
content.type: new_line
content.raw: 👨‍💻Code: 
content.type: text
content.value: 👨‍💻Code: 
content.href: https://github.com/nv-tlabs/LLaMa-Mesh
content.raw: https://github.com/nv-tlabs/LLaMa-Mesh
content.type: link
content.type: text
content.type: new_line
content.raw: 💾 Model Checkpoint: 
content.type: text
content.value: 💾 Model Checkpoint: 
content.raw: https://huggingface.co/Zhengyi/LLaMA-Mesh
content.id: Zhengyi/LLaMA-Mesh
content.type: model
content.type: resource
content.url: https://huggingface.co/Zhengyi/LLaMA-Mesh
content.type: new_line
content.raw: 🧩 Blender Addon: 
content.type: text
content.value: 🧩 Blender Addon: 
content.href: https://github.com/huggingface/meshgen
content.raw: https://github.com/huggingface/meshgen
content.type: link
content.raw:  (courtesy of Dylan Ebert)
content.type: text
content.value:  (courtesy of Dylan Ebert)
content.type: new_line
content.raw: 🎥 5-min Overview Video: 
content.type: text
content.value: 🎥 5-min Overview Video: 
content.href: https://youtu.be/eZNazN-1lPo?si=-idQa5aaceVw0Bbj
content.raw: https://youtu.be/eZNazN-1lPo?si=-idQa5aaceVw0Bbj
content.type: link
content.raw:  (courtesy of AI Papers Academy)
content.type: text
content.value:  (courtesy of AI Papers Academy)
rawContent: 🦙New NVIDIA paper: LLaMA-Mesh 🦙
  
  We enable large language models to generate and understand 3D meshes by representing them as text and fine-tuning. This unifies the 3D and text modalities in a single model and preserves language abilities, unlocking conversational 3D creation with mesh understanding.
  
  🔎 Project Page: https://research.nvidia.com/labs/toronto-ai/LLaMA-Mesh/
  🕹️ Interactive Demo: https://huggingface.co/spaces/Zhengyi/LLaMA-Mesh (courtesy of HuggingFace and Gradio)
  📖 Full Paper: https://arxiv.org/abs/2411.09595 
  👨‍💻Code: https://github.com/nv-tlabs/LLaMa-Mesh 
  💾 Model Checkpoint: https://huggingface.co/Zhengyi/LLaMA-Mesh
  🧩 Blender Addon: https://github.com/huggingface/meshgen (courtesy of Dylan Ebert)
  🎥 5-min Overview Video: https://youtu.be/eZNazN-1lPo?si=-idQa5aaceVw0Bbj (courtesy of AI Papers Academy)
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