Edify 3D: Scalable High-Quality 3D Asset Generation
Nvidia
:
Maciej Bala
Yin Cui
Yifan Ding
Yunhao Ge
Zekun Hao
J. Hasselgren
Jacob Samuel Huffman
Jingyi Jin
J. P. Lewis
Z. Li
Chen-Hsuan Lin
Yen-Chen Lin
Tsung-Yi Lin
Ming-Yu Liu
Alice Luo
Qianli Ma
Jacob Munkberg
S.
Fangyin Wei
Donglai Xiang
Jiashu Xu
Xiaohui Zeng
Qinsheng Zhang

Abstract
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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