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Line 14: Antonia Antonova presented another model.<ref>{{Cite web \|title=Text to Video Generation \|url=https://antonia.space/text-to-video-generation \|access-date=2022-10-12 \|website=Antonia Antonova \|language=en-US}}</ref> In March 2023, a landmark research paper by Alibaba research was published, applying many of the principles found in latent image diffusion models to video generation.<ref>{{Cite web \|title=Home - DAMO Academy \|url=https://damo.alibaba.com/ \|access-date=2023-08-12 \|website=damo.alibaba.com}}</ref><ref>{{Cite ~~arxiv~~arXiv \|last1=Luo \|first1=Zhengxiong \|last2=Chen \|first2=Dayou \|last3=Zhang \|first3=Yingya \|last4=Huang \|first4=Yan \|last5=Wang \|first5=Liang \|last6=Shen \|first6=Yujun \|last7=Zhao \|first7=Deli \|last8=Zhou \|first8=Jingren \|last9=Tan \|first9=Tieniu \|date=2023 \|title=VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation \|~~arxiv~~class=cs.CV \|eprint=2303.08320}}</ref> Many services like https://kaiber.ai/ or https://reemix.co/ have since adopted similar approaches to video generation in their respective products. Although alternative approaches exist,<ref>{{Citation \|title=Text2Video-Zero \|date=2023-08-12 \|url=https://github.com/Picsart-AI-Research/Text2Video-Zero \|access-date=2023-08-12 \|publisher=Picsart AI Research (PAIR)}}</ref> full latent diffusion models are currently regarded to be state of the art for video diffusion.

Text-to-video model: Difference between revisions