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