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Towards mitigating uncann(eye)ness in face swaps via gaze-centric loss terms
We additionally propose a novel loss equation for the training of face swapping models, leveraging a pretrained gaze estimation network to directly improve representation of the eyes.
Introducing Explicit Gaze Constraints to Face Swapping
We find all methods to significantly benefit gaze in resulting face swaps.
Practical Digital Disguises: Leveraging Face Swaps to Protect Patient Privacy
With rapid advancements in image generation technology, face swapping for privacy protection has emerged as an active area of research.
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