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Fig. 2 | Human-centric Computing and Information Sciences

Fig. 2

From: Facial UV map completion for pose-invariant face recognition: a novel adversarial approach based on coupled attention residual UNets

Fig. 2

Generator architecture. The generator of proposed Attention ResCUNet-GAN consists of coupled U-Nets. Skip connections within each U-Net are enhanced with attention gates before concatenation. The contextual information from the first U-Net decoder is weighted fused with attentive low-level feature maps of the second U-Net encoder before concatenation with the high-level coarse feature maps of the second U-Net decoder. An auxiliary loss is used to improve gradient flow during the training phase

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