Part-Aware Shape Generation With Latent 3D Diffusion of Neural Voxel Fields

This article introduces a novel latent 3D diffusion model for generating neural voxel fields with precise part-aware structures and high-quality textures. In comparison to existing methods, this approach incorporates two key designs to guarantee high-quality and accurate part-aware generation. On on...

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Vydané v:	IEEE transactions on visualization and computer graphics Ročník 31; číslo 10; s. 8057 - 8069
Hlavní autori:	Huang, Yuhang, Zou, Shilong, Liu, Xinwang, Xu, Kai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.10.2025
Predmet:	3D diffusion models Codes Decoding Diffusion models Diffusion processes Image color analysis Noise reduction part-aware generation Rendering (computer graphics) Shape shape generation Three-dimensional displays Training
ISSN:	1077-2626, 1941-0506, 1941-0506
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