Rendered image superresolution reconstruction with multichannel feature network

HIGHLIGHTS

  • who: Zhipeng Ren and collaborators from the School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China have published the Article: Rendered Image Superresolution Reconstruction with Multichannel Feature Network, in the Journal: Scientific Programming of 29/08/2022
  • what: To achieve a better cost efficiency during video production the authors propose a multichannel featured superresolution network model that utilizes rendered low-resolution images according to their characteristics. Given the above situation, the authors propose a superresolution reconstruction method for rendered images and produce more realistic results. The authors propose a multichannel . . .

     

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