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 361–370 of 381 papers

TitleStatusHype
Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANsCode0
GAGAN: Geometry-Aware Generative Adversarial Networks—0
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis—0
Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data—0
Learning a model of facial shape and expression from 4D scansCode2
Progressive Growing of GANs for Improved Quality, Stability, and VariationCode2
GP-GAN: Gender Preserving GAN for Synthesizing Faces from LandmarksCode0
CausalGAN: Learning Causal Implicit Generative Models with Adversarial TrainingCode0
Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces—0
Recent Progress of Face Image Synthesis—0
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