Text-to-video model: Difference between revisions

Revision as of 09:05, 19 August 2023

Revision as of 09:54, 19 August 2023

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 journal |lastlast1=Luo |firstfirst1=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 |url=https://arxiv.org/abs/2303.08320 |doi=10.48550/ARXIV.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.