@techreport{TR-IC-PFG-23-16,
   number = {IC-PFG-23-16},
   author  =  {Felipe  Santana  Dias  and  Artemis  Moroni  and  Hélio 
                   Pedrini},
   title = {{Using Generative Models to Create a Visual Description of
                   Climate Change}},
   month = {July},
   year = {2023},
   institution = {Institute of Computing, University of Campinas},
   note = {In English, 15 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       Scientific   denialism   refers   to  the  discrepancy  between 
       information  and  its effective communication. In this project,
       our   objective  is  to  delve  into  the  field  of  knowledge 
       visualization  by  integrating  the  latest  advancements in AI
       generative  models.  We aim to create a visually compelling and
       deterministic  representation based on satellite data of Rio de
       Janeiro's  climate  over  the  next  100 years, elucidating its
       interaction   with  climate  change.  While  we  have  achieved 
       promising results in image generation, we still face challenges
       in  constructing  a  cohesive  video  that  maintains  temporal 
       coherence, semantic consistency and realism.
  }
}