Facial Expression Translation
2 papers with code • 3 benchmarks • 1 datasets
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Most implemented papers
Unified Generative Adversarial Networks for Controllable Image-to-Image Translation
The proposed model consists of a single generator and a discriminator taking a conditional image and the target controllable structure as input.
Toward Fine-grained Facial Expression Manipulation
Previous methods edit an input image under the guidance of a discrete emotion label or absolute condition (e. g., facial action units) to possess the desired expression.