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Face Generation

Face generation is the task of generating (or interpolating) new faces from an existing dataset.

The state-of-the-art results for this task are located in the Image Generation parent.

( Image credit: Progressive Growing of GANs for Improved Quality, Stability, and Variation )

Papers

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Showing 91–100 of 381 papers

TitleStatusHype
On the Detection of Digital Face ManipulationCode1
AdvFaces: Adversarial Face SynthesisCode1
Unsupervised Face Normalization With Extreme Pose and Expression in the WildCode1
Triple consistency loss for pairing distributions in GAN-based face synthesisCode1
GANimation: Anatomically-aware Facial Animation from a Single ImageCode1
ArcFace: Additive Angular Margin Loss for Deep Face RecognitionCode1
Non-Adaptive Adversarial Face Generation—0
Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes—0
FaceCrafter: Identity-Conditional Diffusion with Disentangled Control over Facial Pose, Expression, and Emotion—0
Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks—0
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