Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias
Deep-learning (DL) performs well in computer-vision and medical-imaging automated
decision-making applications. A bottleneck of DL stems from the large amount of labelled …
decision-making applications. A bottleneck of DL stems from the large amount of labelled …
Smile: Semantically-guided multi-attribute image and layout editing
A Romero, L Van Gool… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Attribute image manipulation has been a very active topic since the introduction of
Generative Adversarial Networks (GANs). Exploring the disentangled attribute space within …
Generative Adversarial Networks (GANs). Exploring the disentangled attribute space within …
Separating content and style for unsupervised image-to-image translation
[BOK][B] Debiasing Image Generative Models
MM Tanjim - 2023 - search.proquest.com
Generative models have become increasingly popular in various domains to solve
challenging tasks, including image generation, dialogue generation, and story generation …
challenging tasks, including image generation, dialogue generation, and story generation …
Transferring and learning representations for image generation and translation
Y Wang - 2020 - ddd.uab.cat
Image generation is arguably one of the most attractive, compelling, and challenging tasks
in computer vision. Among the methods which perform image generation, generative …
in computer vision. Among the methods which perform image generation, generative …