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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 71–80 of 381 papers

TitleStatusHype
Adv-Makeup: A New Imperceptible and Transferable Attack on Face RecognitionCode1
Text2Video: Text-driven Talking-head Video Synthesis with Personalized Phoneme-Pose DictionaryCode1
EigenGAN: Layer-Wise Eigen-Learning for GANsCode1
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual RepresentationCode1
Voice2Mesh: Cross-Modal 3D Face Model Generation from VoicesCode1
Audio-Driven Emotional Video PortraitsCode1
Matched sample selection with GANs for mitigating attribute confoundingCode1
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning FrameworkCode1
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face GenerationCode1
Improving the Fairness of Deep Generative Models without RetrainingCode1
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