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
A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance—0
Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks—0
X2Face: A network for controlling face generation using images, audio, and pose codes—0
Synthetic Counterfactual Faces—0
Taiwanese-Accented Mandarin and English Multi-Speaker Talking-Face Synthesis System—0
What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer—0
A comprehensive survey on semantic facial attribute editing using generative adversarial networks—0
Talking Face Generation with Multilingual TTS—0
'Tax-free' 3DMM Conditional Face Generation—0
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark—0
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