A review of the state of the art 3d generative models and their applications

HIGHLIGHTS

• What: Experiment data comparisons and analysis To gain a more in-depth and precise idea of the 3D generative models the paper has discussed, it is necessary to argue the performance of each model by taking each model under the same evaluation standard. It is obvious that though there are three categories of models as the paper discussed: 3D human, 3D scene, and 3D object generative models, their performances vary in a quite drastic way: for the FID values of 3D human generative models AvatarGen, EVA3D, and HumanNorm, they are 5.25, 15.91 and 92.5 . . .
  

   

  

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