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Edify 3D: Scalable High-Quality 3D Asset Generation

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arxiv 2411.07135 v1 pith:LXJJ4TXY submitted 2024-11-11 cs.CV cs.AIcs.GR

Edify 3D: Scalable High-Quality 3D Asset Generation

NVIDIA: Maciej Bala , Yin Cui , Yifan Ding , Yunhao Ge , Zekun Hao , Jon Hasselgren , Jacob Huffman , Jingyi Jin
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J.P. Lewis Zhaoshuo Li Chen-Hsuan Lin Yen-Chen Lin Tsung-Yi Lin Ming-Yu Liu Alice Luo Qianli Ma Jacob Munkberg Stella Shi Fangyin Wei Donglai Xiang Jiashu Xu Xiaohui Zeng Qinsheng Zhang
This is my paper
classification cs.CV cs.AIcs.GR
keywords high-qualityassetedifygenerationmaterialsmethodobjectshape
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We introduce Edify 3D, an advanced solution designed for high-quality 3D asset generation. Our method first synthesizes RGB and surface normal images of the described object at multiple viewpoints using a diffusion model. The multi-view observations are then used to reconstruct the shape, texture, and PBR materials of the object. Our method can generate high-quality 3D assets with detailed geometry, clean shape topologies, high-resolution textures, and materials within 2 minutes of runtime.

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