dishantroland2025/Underwater-GAN-Analysis: First reproducible release for The Visual Computer

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

Read full text
Authors: dishantroland2025
DOI: 10.5281/zenodo.18134087
Cited by: 0

Abstract

Comparative study of two GAN-based underwater image enhancement models—Sea-Pix-GAN and MuLA-GAN—evaluating quality, perceptual performance, and computational efficiency across multiple benchmark datasets.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 January 2026