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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 271–280 of 381 papers

TitleStatusHype
Causal Adversarial Network for Learning Conditional and Interventional Distributions—0
On Attribution of Deepfakes—0
Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks—0
Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent SupervisionCode1
Domain Private and Agnostic Feature for Modality Adaptive Face Recognition—0
Speech Driven Talking Face Generation from a Single Image and an Emotion ConditionCode1
Encoding in Style: a StyleGAN Encoder for Image-to-Image TranslationCode1
MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face GenerationCode1
Few-shot Knowledge Transfer for Fine-grained Cartoon Face GenerationCode2
Attention-based Residual Speech Portrait Model for Speech to Face Generation—0
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