Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion

Author:

Deng Boyang1ORCID,Tucker Richard2ORCID,Li Zhengqi2ORCID,Guibas Leonidas1ORCID,Snavely Noah3ORCID,Wetzstein Gordon4ORCID

Affiliation:

1. Stanford University, United States of America and Google Research, United States of America

2. Google Research, United States of America

3. Google Research, United States of America and Cornell University, United States of America

4. Stanford University, United States of America

Publisher

ACM

Reference73 articles.

1. RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation

2. Dragomir Anguelov, Carole Dulong, Daniel Filip, Christian Frueh, Stéphane Lafon, Richard Lyon, Abhijit Ogale, Luc Vincent, and Josh Weaver. 2010. Google Street View: Capturing the World at Street Level. Computer 43 (2010). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5481932&tag=1

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

4. Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, 2023a. Stable video diffusion: Scaling latent video diffusion models to large datasets. arXiv preprint arXiv:2311.15127 (2023).

5. Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

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