@techreport{TR-IC-PFG-22-36,
   number = {IC-PFG-22-36},
   author  =  {Thales  Rog{\'e}rio  Sales Almeida and Rodrigo Frasseto
                   Nogueira and H{\'e}lio Pedrini},
   title  =  {{An  Analysis  of  the Currently Available Text-to-Image
                   Models}},
   month = {December},
   year = {2022},
   institution = {Institute of Computing, University of Campinas},
   note = {In English, 11 pages.
    \par\selectlanguage{English}\textbf{Abstract}
       This  work  aims  to  study some of the most prominent publicly
       available  models  for  the  text-to-image  generation task. In
       addition,  we  investigated whether an ensemble of these models
       can  achieve  better results using a CLIP model as a ranker. To
       perform  these  experiments,  we  selected two available models
       that  performed  well  on the public MS-COCO benchmark. We also
       experimented  with  Stable  Diffusion,  a  diffusion model that
       became  popular  due to the quality of the images it generates.
       We  evaluated  each  model  and the ensembles in subsets of the
       MS-COCO and FLICKR datasets.
  }
}