Research about image-to-image translation has been widely studied. The power of Cycle GAN that can generate image from unpaired dataset help researchers to jump to the advanced technology. But, research in the field of video-to video translation is still limited. Some challenges due to flickering, unsynchronization of frame time, etc. in this field need to be studied more deeply.
We want to generate video from day to night by training some day and night images using Cycle GAN.
Irfan Dwi Bhaswara
Processor: 16 core
Storage: 20 GB
Software: Python 3.7, Pytorch, Open CV
final report that can be submitted for publication
07/02/2019 - 13/02/2019