LN3Diff: scalable latent neural fields diffusion for speedy 3D generation

LN3Diff: scalable latent neural fields diffusion for speedy 3D generation

The field of neural rendering has witnessed significant progress with advancements in generative models and differentiable rendering techniques. Though 2D diffusion has achieved success, a unified 3D diffusion pipeline remains unsettled. This paper introduces a novel framework called LN3Diff to...

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Bibliographic Details
Main Authors: Lan, Yushi, Hong, Fangzhou, Yang, Shuai, Zhou, Shangchen, Meng, Xuyi, Dai, Bo, Pan, Xingang, Loy, Chen Change
Other Authors: College of Computing and Data Science
Format: Conference Paper
Language:English
Published: 2024
Subjects:
Computer and Information Science
Generative model
Reconstruction
Online Access:https://hdl.handle.net/10356/180256
http://arxiv.org/abs/2403.12019v2

Internet

https://hdl.handle.net/10356/180256
http://arxiv.org/abs/2403.12019v2

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