SOTAVerified

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 331–340 of 381 papers

TitleStatusHype
Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial NetworksCode0
Matching Thermal to Visible Face Images Using a Semantic-Guided Generative Adversarial Network—0
BoostGAN for Occlusive Profile Face Frontalization and Recognition—0
Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition—0
RankGAN: A Maximum Margin Ranking GAN for Generating FacesCode0
Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning—0
Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks—0
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis—0
Deep Neural Network Augmentation: Generating Faces for Affect Analysis—0
Super-Identity Convolutional Neural Network for Face Hallucination—0
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