1 citations · 1 across the 2 of their papers we have counts for
4 papers
V-LinkNet: Learning Contextual Inpainting Across Latent Space of Generative Adversarial Network
Jireh Jam, Connah Kendrick, Vincent Drouard +2
Image inpainting is a key technique in image processing task to predict the missing regions and generate realistic images. Given the advancement of existing generative inpainting m…
Foreground-guided Facial Inpainting with Fidelity Preservation
Jireh Jam, Connah Kendrick, Vincent Drouard +2
Facial image inpainting, with high-fidelity preservation for image realism, is a very challenging task. This is due to the subtle texture in key facial features (component) that ar…
R-MNet: A Perceptual Adversarial Network for Image Inpainting
Jireh Jam, Connah Kendrick, Vincent Drouard +3
Facial image inpainting is a problem that is widely studied, and in recent years the introduction of Generative Adversarial Networks, has led to improvements in the field. Unfortun…
Symmetric Skip Connection Wasserstein GAN for High-Resolution Facial Image Inpainting
Jireh Jam, Connah Kendrick, Vincent Drouard +3
The state-of-the-art facial image inpainting methods achieved promising results but face realism preservation remains a challenge. This is due to limitations such as; failures in p…