dishantroland2025/Underwater-GAN-Analysis: Updated zenodo doi

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

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Authors: dishantroland2025
DOI: 10.5281/zenodo.18138549
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
3 January 2026