Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT Article Swipe
Dongyang Liu
,
Shicheng Li
,
Yutong Liu
,
Zhen Li
,
Kai Wang
,
Xinyue Li
,
Qi Qin
,
Yufei Liu
,
Yi Xin
,
Zhongyu Li
,
Bin Xiao Fu
,
Chenyang Si
,
Yiqi Cao
,
Changming He
,
Ziwei Liu
,
Yu Qiao
,
Qibin Hou
,
Hongsheng Li
,
Peng Gao
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2502.06782
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2502.06782
Recent advancements have established Diffusion Transformers (DiTs) as a dominant framework in generative modeling. Building on this success, Lumina-Next achieves exceptional performance in the generation of photorealistic images with Next-DiT. However, its potential for video generation remains largely untapped, with significant challenges in modeling the spatiotemporal complexity inherent to video data. To address this, we introduce Lumina-Video, a framework that leverages the strengths of Next-DiT while introducing tailored solutions for video synthesis. Lumina-Video incorporates a Multi-scale Next-DiT architecture, which jointly learns multiple patchifications to enhance both efficiency and flexibility. By incorporating the motion score as an explicit condition, Lumina-Video also enables direct control of generated videos' dynamic degree. Combined with a progressive training scheme with increasingly higher resolution and FPS, and a multi-source training scheme with mixed natural and synthetic data, Lumina-Video achieves remarkable aesthetic quality and motion smoothness at high training and inference efficiency. We additionally propose Lumina-V2A, a video-to-audio model based on Next-DiT, to create synchronized sounds for generated videos. Codes are released at https://www.github.com/Alpha-VLLM/Lumina-Video.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2502.06782
- https://arxiv.org/pdf/2502.06782
- OA Status
- green
- Related Works
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- OpenAlex ID
- https://openalex.org/W4407359584
All OpenAlex metadata
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https://openalex.org/W4407359584Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2502.06782Digital Object Identifier
- Title
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Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiTWork title
- Type
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preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-02-10Full publication date if available
- Authors
-
Dongyang Liu, Shicheng Li, Yutong Liu, Zhen Li, Kai Wang, Xinyue Li, Qi Qin, Yufei Liu, Yi Xin, Zhongyu Li, Bin Xiao Fu, Chenyang Si, Yiqi Cao, Changming He, Ziwei Liu, Yu Qiao, Qibin Hou, Hongsheng Li, Peng GaoList of authors in order
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https://arxiv.org/abs/2502.06782Publisher landing page
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https://arxiv.org/pdf/2502.06782Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2502.06782Direct OA link when available
- Concepts
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Computer science, Scale (ratio), Geography, CartographyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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| abstract_inverted_index.potential | 32 |
| abstract_inverted_index.solutions | 68 |
| abstract_inverted_index.strengths | 62 |
| abstract_inverted_index.synthetic | 129 |
| abstract_inverted_index.untapped, | 38 |
| abstract_inverted_index.challenges | 41 |
| abstract_inverted_index.complexity | 46 |
| abstract_inverted_index.condition, | 97 |
| abstract_inverted_index.efficiency | 86 |
| abstract_inverted_index.generation | 24, 35 |
| abstract_inverted_index.generative | 12 |
| abstract_inverted_index.remarkable | 133 |
| abstract_inverted_index.resolution | 117 |
| abstract_inverted_index.smoothness | 138 |
| abstract_inverted_index.synthesis. | 71 |
| abstract_inverted_index.Lumina-Next | 18 |
| abstract_inverted_index.Lumina-V2A, | 148 |
| abstract_inverted_index.Multi-scale | 75 |
| abstract_inverted_index.efficiency. | 144 |
| abstract_inverted_index.established | 3 |
| abstract_inverted_index.exceptional | 20 |
| abstract_inverted_index.introducing | 66 |
| abstract_inverted_index.performance | 21 |
| abstract_inverted_index.progressive | 111 |
| abstract_inverted_index.significant | 40 |
| abstract_inverted_index.Lumina-Video | 72, 98, 131 |
| abstract_inverted_index.Transformers | 5 |
| abstract_inverted_index.additionally | 146 |
| abstract_inverted_index.advancements | 1 |
| abstract_inverted_index.flexibility. | 88 |
| abstract_inverted_index.incorporates | 73 |
| abstract_inverted_index.increasingly | 115 |
| abstract_inverted_index.multi-source | 122 |
| abstract_inverted_index.synchronized | 157 |
| abstract_inverted_index.Lumina-Video, | 56 |
| abstract_inverted_index.architecture, | 77 |
| abstract_inverted_index.incorporating | 90 |
| abstract_inverted_index.photorealistic | 26 |
| abstract_inverted_index.spatiotemporal | 45 |
| abstract_inverted_index.video-to-audio | 150 |
| abstract_inverted_index.patchifications | 82 |
| abstract_inverted_index.https://www.github.com/Alpha-VLLM/Lumina-Video. | 166 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 19 |
| citation_normalized_percentile |