I crafted a synthetic clock dataset and trained a WGAN on it to generate synthetic clocks. During my experimentation, I attempted to change the time and style of a clock.
I succeeded in doing so as demonstrated here:
Left figure shows generated clocks and in right figure I swap the time in clocks in 1st and 2nd column. I discovered that there are more advanced methods, such as Nvidia's StyleGANs, which have surpassed my work and have access to significantly more GPUs.
A presentation covering GANs, compiled by me, till StyleGAN is here.