Component Semantic Prior Guided Generative Adversarial Network for Face Super-Resolution
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2921859
Abstract: Face super-resolved (SR) images aid human perception. The state-of-the-art face SR methods leverage the spatial location of facial components as prior knowledge. However, it remains a great challenge to generate natural textures. In this paper,… read more here.
Keywords: face; component semantic; face super; semantic prior ... See more keywords
Recognition-Driven Compressed Image Generation Using Semantic-Prior Information
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DOI: 10.1109/lsp.2020.3004967
Abstract: Image compression, as one of the fundamental low-level image processing tasks, is very essential for computer vision. Current image compression methods can maintain considerable visual quality even at relatively lower bit-rate, but pay little attention… read more here.
Keywords: quality; prior information; semantic prior; image ... See more keywords
Semantic-Aware Dehazing Network With Adaptive Feature Fusion.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3124231
Abstract: Despite that convolutional neural networks (CNNs) have shown high-quality reconstruction for single image dehazing, recovering natural and realistic dehazed results remains a challenging problem due to semantic confusion in the hazy scene. In this article,… read more here.
Keywords: dehazing network; semantic aware; network adaptive; semantic prior ... See more keywords