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🎉 Thrilled to share our #CVPR2025 accepted work: https://huggingface.co/papers/2503.21694 🔥 Key Innovations: 1️⃣ First to adapt SD for direct textured mesh generation (1-2s inference) 2️⃣ Novel teacher-student framework leveraging multi-view diffusion models ([MVDream](https://arxiv.org/abs/2308.16512) & [RichDreamer](https://arxiv.org/abs/2311.16918)) 3️⃣ Parameter-efficient tuning - only +2.6% params over base SD 4️⃣ 3D data-free training liberates model from dataset constraints 💡 Why matters? → A novel 3D-Data-Free paradigm → Outperforms data-driven methods on creative concept generation → Unlocks web-scale text corpus for 3D content creation 🌐 Project: https://theericma.github.io/TriplaneTurbo/ 🎮 Demo: https://huggingface.co/spaces/ZhiyuanthePony/TriplaneTurbo 💻 Code: https://github.com/theEricMa/TriplaneTurbo
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Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data
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Generate 3D models from text descriptions