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SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis
[article]
2020
arXiv
pre-print
Advances in face rotation, along with other face-based generative tasks, are more frequent as we advance further in topics of deep learning. Even as impressive milestones are achieved in synthesizing faces, the importance of preserving identity is needed in practice and should not be overlooked. Also, the difficulty should not be more for data with obscured faces, heavier poses, and lower quality. Existing methods tend to focus on samples with variation in pose, but with the assumption data is
arXiv:2012.04111v1
fatcat:su2ef6g2tnd4rcfg5uwng3u2cu