Panasonic Sugiri Pranata

Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis

Synthesizing realistic profile faces is promising for more efficiently training deep pose-invariant models for large-scale unconstrained face recognition, by populating samples with extreme poses and avoiding tedious annotations. However, learning from synthetic faces may not achieve the desired pe…