GitHub / prashanthi-r / viVID
In this project, we implement SRGAN. This paper attempts to upscale images up to a factor of 4x without losing the finer textural details. We extended the scope of this idea to videos. We demonstrate that the model generalizes well on out-of-domain inputs through various biased and unbiased inputs.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prashanthi-r%2FviVID
PURL: pkg:github/prashanthi-r/viVID
Stars: 1
Forks: 3
Open issues: 0
License: None
Language: Python
Size: 24.2 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: 8 months ago
Pushed at: over 3 years ago
Last synced at: 3 months ago
Topics: gan, gans, generative-adversarial-network, srgan, srgan-keras, superres, superresolution