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LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching
Yixun Liang♣,
Xin Yang♣,
Jiantao Lin,
Haodong Li,
Xiaogang Xu,
Yingcong Chen
CVPR 2024 Highlight
Github
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arXiv
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Demo
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Video
We present LucidDreamer, a text-to-3D generation framework, to distill high-fidelity textures and shapes from pretrained 2D
diffusion models with a novel Interval Score Matching objective and an advanced 3D distillation pipeline.
Together, we achieve superior 3D generation results with photorealistic quality in a short training time.
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