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 321–330 of 381 papers

TitleStatusHype
FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation—0
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis—0
COCO-GAN: Generation by Parts via Conditional CoordinatingCode0
High Fidelity Face Manipulation with Extreme Poses and Expressions—0
Photo-Realistic Facial Details Synthesis from Single ImageCode0
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
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