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pro vyhledávání: '"Jam, Jireh"'
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 models with feature extraction, propagation and reconstruction capabili
Externí odkaz:
http://arxiv.org/abs/2201.00323
Facial image manipulation is a generation task where the output face is shifted towards an intended target direction in terms of facial attribute and styles. Recent works have achieved great success in various editing techniques such as style transfe
Externí odkaz:
http://arxiv.org/abs/2110.09425
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 are not easily transferable. Many image inpainting techniques have been
Externí odkaz:
http://arxiv.org/abs/2105.03342
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. Unfortunately some issues persists, in particular when blending the missing pi
Externí odkaz:
http://arxiv.org/abs/2008.04621
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 preserving edges and blurry artefacts. To overcome these limitations, w
Externí odkaz:
http://arxiv.org/abs/2001.03725
Autor:
Jam, Jireh, Kendrick, Connah, Walker, Kevin, Drouard, Vincent, Hsu, Jison Gee-Sern, Yap, Moi Hoon
Publikováno v:
In Computer Vision and Image Understanding February 2021 203