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 261–270 of 381 papers

TitleStatusHype
GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation—0
CG-NeRF: Conditional Generative Neural Radiance Fields—0
One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning—0
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey—0
Self-supervised Correlation Mining Network for Person Image Generation—0
A Study of the Human Perception of Synthetic Faces—0
Adversarially Perturbed Wavelet-based Morphed Face Generation—0
Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor—0
Identity-guided Face Generation with Multi-modal Contour Conditions—0
Transformer Network for Semantically-Aware and Speech-Driven Upper-Face GenerationCode0
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