Microsoft & Peking University FaceShifter: High Fidelity, Occlusion Aware Face Swapping | Synced
A new study from Peking University and Microsoft Research Asia proposes a novel two-phase framework, FaceShifter, that aims for high-fidelity and occlusion-aware face exchange.
Source: Synced | AI Technology & Industry Review
A new study from Peking University and Microsoft Research Asia proposes a novel two-phase framework, FaceShifter, that aims for high-fidelity and occlusion-aware face exchange.