Summary of Edify 3d: Scalable High-quality 3d Asset Generation, by Nvidia: Maciej Bala et al.
Edify 3D: Scalable High-Quality 3D Asset Generation
by NVIDIA, Maciej Bala, Yin Cui, Yifan Ding, Yunhao Ge, Zekun Hao, Jon Hasselgren, Jacob Huffman, Jingyi Jin, 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
First submitted to arxiv on: 11 Nov 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Graphics (cs.GR)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel approach for generating high-quality 3D assets is introduced in Edify 3D, a diffusion-based method that leverages multi-view observations to reconstruct the shape, texture, and physical-based rendering (PBR) materials of an object. By synthesizing RGB and surface normal images at multiple viewpoints, the method achieves detailed geometry, clean topologies, high-resolution textures, and accurate materials in just 2 minutes of runtime. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Edify 3D is a new way to create super-realistic 3D objects quickly! It uses a special computer model that looks at many different views of an object from all angles. This helps it create really detailed shapes, textures, and even the way light reflects off the object (like in real life). The result? High-quality 3D assets you can use for movies, games, or just to explore. |
Keywords
» Artificial intelligence » Diffusion