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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 341–350 of 381 papers

TitleStatusHype
Everybody Dance NowCode0
X2Face: A network for controlling face generation by using images, audio, and pose codes—0
Persuasive Faces: Generating Faces in Advertisements—0
GANimation: Anatomically-aware Facial Animation from a Single ImageCode1
Talking Face Generation by Adversarially Disentangled Audio-Visual RepresentationCode0
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously—0
High Diversity Attribute Guided Face Generation with GANs—0
Face Synthesis for Eyeglass-Robust Face RecognitionCode0
FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis—0
Versatile Auxiliary Regressor with Generative Adversarial network (VAR+GAN)—0
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