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