UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields-Reference-Cited by-同舟云学术

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UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields

Published:2023-10-01 Issue: Volume: Page:9165-9176
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Yang Yuanbo¹,Yang Yifei¹,Guo Hanlei¹,Xiong Rong¹,Wang Yue¹,Liao Yiyi¹

Affiliation:

1. Zhejiang University

Funder

Fundamental Research Funds for the Central Universities

Zhejiang University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377895.pdf?arnumber=10377895

Reference76 articles.

1. CC3D: Layout-Conditioned Generation of Compositional 3D Scenes

2. GAUDI: A neural architect for immersive 3d scene generation;Bautista

3. GAUDI: A neural architect for immersive 3d scene generation;Bautista,2022

4. Generative neural articulated radiance fields;Bergman,2022

5. Demystifying MMD gans;Binkowski

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1. Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

2. Car-Studio: Learning Car Radiance Fields From Single-View and Unlimited In-the-Wild Images;IEEE Robotics and Automation Letters;2024-03

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