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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 211–220 of 381 papers

TitleStatusHype
Generalized Visual Quality Assessment of GAN-Generated Face Images—0
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGANCode1
VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting—0
Generative Adversarial Network for Text-to-Face Synthesis and Manipulation with Pretrained BERT Model—0
Complete Face Recovery GAN: Unsupervised Joint Face Rotation and De-Occlusion From a Single-View ImageCode1
StyleSDF: High-Resolution 3D-Consistent Image and Geometry GenerationCode1
Reasoning Structural Relation for Occlusion-Robust Facial Landmark LocalizationCode0
GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation—0
AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANsCode1
Graph-based Generative Face Anonymisation with Pose PreservationCode1
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