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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 311–320 of 381 papers

TitleStatusHype
AdvFaces: Adversarial Face SynthesisCode1
Latent Space Factorisation and Manipulation via Matrix Subspace ProjectionCode0
Interpreting the Latent Space of GANs for Semantic Face EditingCode2
Landmark Assisted CycleGAN for Cartoon Face Generation—0
Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations—0
Unsupervised Face Normalization With Extreme Pose and Expression in the WildCode1
Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss—0
Mask-Guided Portrait Editing with Conditional GANs—0
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis—0
IAN: Combining Generative Adversarial Networks for Imaginative Face Generation—0
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