https://www.selleckchem.com/pr....oducts/nedisertib.ht
Specifically, we propose a boosting GAN (BoostGAN) for occluded but profile face frontalization, deocclusion, and recognition, which has two aspects 1) with the assumption that face occlusion is incomplete and partial, multiple images with patch occlusion are fed into our model for knowledge boosting, i.e., identity and texture information and 2) a new aggregation structure integrated with a deep encoder-decoder network for coarse face synthesis and a boosting network for fine face generation is carefully designed. Exhaustive experim
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