StarGen: A Spatiotemporal Autoregression Framework with Video Diffusion Model for Scalable and Controllable Scene Generation Article Swipe
Shangjin Zhai
,
Zhichao Ye
,
Jialin Liu
,
Weijian Xie
,
Jia Hu
,
Zhen Peng
,
Hua Dan Xue
,
Danpeng Chen
,
Xiaomeng Wang
,
Lei Yang
,
Nan Wang
,
Haomin Liu
,
Guofeng Zhang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2501.05763
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2501.05763
Recent advances in large reconstruction and generative models have significantly improved scene reconstruction and novel view generation. However, due to compute limitations, each inference with these large models is confined to a small area, making long-range consistent scene generation challenging. To address this, we propose StarGen, a novel framework that employs a pre-trained video diffusion model in an autoregressive manner for long-range scene generation. The generation of each video clip is conditioned on the 3D warping of spatially adjacent images and the temporally overlapping image from previously generated clips, improving spatiotemporal consistency in long-range scene generation with precise pose control. The spatiotemporal condition is compatible with various input conditions, facilitating diverse tasks, including sparse view interpolation, perpetual view generation, and layout-conditioned city generation. Quantitative and qualitative evaluations demonstrate StarGen's superior scalability, fidelity, and pose accuracy compared to state-of-the-art methods. Project page: https://zju3dv.github.io/StarGen.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2501.05763
- https://arxiv.org/pdf/2501.05763
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406317015
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4406317015Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2501.05763Digital Object Identifier
- Title
-
StarGen: A Spatiotemporal Autoregression Framework with Video Diffusion Model for Scalable and Controllable Scene GenerationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-10Full publication date if available
- Authors
-
Shangjin Zhai, Zhichao Ye, Jialin Liu, Weijian Xie, Jia Hu, Zhen Peng, Hua Dan Xue, Danpeng Chen, Xiaomeng Wang, Lei Yang, Nan Wang, Haomin Liu, Guofeng ZhangList of authors in order
- Landing page
-
https://arxiv.org/abs/2501.05763Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2501.05763Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2501.05763Direct OA link when available
- Concepts
-
Scalability, Computer science, Diffusion, Autoregressive model, Real-time computing, Computer graphics (images), Econometrics, Database, Economics, Physics, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.inference | 23 |
| abstract_inverted_index.perpetual | 116 |
| abstract_inverted_index.spatially | 77 |
| abstract_inverted_index.compatible | 104 |
| abstract_inverted_index.consistent | 36 |
| abstract_inverted_index.generation | 38, 65, 95 |
| abstract_inverted_index.generative | 6 |
| abstract_inverted_index.long-range | 35, 61, 93 |
| abstract_inverted_index.previously | 86 |
| abstract_inverted_index.temporally | 82 |
| abstract_inverted_index.conditioned | 71 |
| abstract_inverted_index.conditions, | 108 |
| abstract_inverted_index.consistency | 91 |
| abstract_inverted_index.demonstrate | 127 |
| abstract_inverted_index.evaluations | 126 |
| abstract_inverted_index.generation, | 118 |
| abstract_inverted_index.generation. | 16, 63, 122 |
| abstract_inverted_index.overlapping | 83 |
| abstract_inverted_index.pre-trained | 52 |
| abstract_inverted_index.qualitative | 125 |
| abstract_inverted_index.Quantitative | 123 |
| abstract_inverted_index.challenging. | 39 |
| abstract_inverted_index.facilitating | 109 |
| abstract_inverted_index.limitations, | 21 |
| abstract_inverted_index.scalability, | 130 |
| abstract_inverted_index.significantly | 9 |
| abstract_inverted_index.autoregressive | 58 |
| abstract_inverted_index.interpolation, | 115 |
| abstract_inverted_index.reconstruction | 4, 12 |
| abstract_inverted_index.spatiotemporal | 90, 101 |
| abstract_inverted_index.state-of-the-art | 137 |
| abstract_inverted_index.layout-conditioned | 120 |
| abstract_inverted_index.https://zju3dv.github.io/StarGen. | 141 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 13 |
| citation_normalized_percentile |