The UGAN Generative Model for Underwater Image Enhancement
WEBImage enhancement for underwater vision. This project uses CycleGAN to perform style transfer on "clean" underwater photos to appear to be underwater. We used this video from Youtube as our distorted domain, and hand picked …
Uganda - Wikipedia
WEBUganda, [ b ] officially the Republic of Uganda, [ c ] is a landlocked country in East Africa. It is bordered to the east by Kenya, to the north by South Sudan, to the west by the Democratic Republic of the Congo, to the south-west by Rwanda, and to …
Uganda | Religion, Population, Language, President, & Kampala
WEB5 days ago — Uganda, country in east-central Africa. Its physical features vary from the tall volcanic mountains of the eastern and western frontiers to the densely forested swamps of the Albert Nile River and the rainforests of the country’s central plateau. Kampala is the capital. Read more about Uganda here.
Dave Ugan - AAA - LinkedIn
WEBView Dave Ugan’s profile on LinkedIn, a professional community of 1 billion members.
- 500+ connections
- Location: AAA
AMSMC-UGAN: Adaptive Multi-Scale Multi-Color Space …
WEBMay 16, 2024 — AMSMC-UGAN leverages multiple color spaces (RGB, HSV, and Lab) for feature extraction, compensating for RGB’s limitations in underwater environments and enhancing the use of image information.
Enhancing Underwater Imagery Using Generative Adversarial …
WEBAutonomous underwater vehicles (AUVs) rely on a variety of sensors - acoustic, inertial and visual - for intelligent decision making. Due to its non-intrusive, passive nature and high information content, vision is an attractive sensing modality, particularly at shallower depths.
infrontofme/UWGAN_UIE - GitHub
WEBUWGAN for generating realistic underwater images. UWGAN takes color image and its depth map as input, then it synthesizes underwater realistic images based on underwater optical imaging model by learning parameters through generative adversarial training. You can find more details in the paper. Synthetic underwater-style images through UWGAN.
cameronfabbri/Underwater-Color-Correction - GitHub
WEBColor correction for underwater vision. This project uses CycleGAN to perform style transfer on "clean" underwater photos to appear to be underwater. We used this video from Youtube as our distorted domain, and hand picked images from Imagenet for our "clean" domain.
UUGAN: a GAN-based approach towards underwater image
WEBSep 28, 2022 — Concretely, a generative adversarial network (GAN) without pairwise image training is proposed, called UUGAN. It aims to bring the visual effects of expert images to the raw images. Our model has three parts, broadly speaking.
WEBConcretely, a generative adversarial network (GAN) without pairwise image training is proposed, called UUGAN. It aims to bring the visual efects of expert images to the raw images. Our model has three parts, broadly speaking.