Facial expression generation
3 papers with code • 0 benchmarks • 1 datasets
Benchmarks
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MH-FED
Most implemented papers
Explore the Expression: Facial Expression Generation using Auxiliary Classifier Generative Adversarial Network
azadlab/FExGAN
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Facial expressions are a form of non-verbal communication that humans perform seamlessly for meaningful transfer of information.
FExGAN-Meta: Facial Expression Generation with Meta Humans
The subtleness of human facial expressions and a large degree of variation in the level of intensity to which a human expresses them is what makes it challenging to robustly classify and generate images of facial expressions.
4D Facial Expression Diffusion Model
In this paper, we introduce a generative framework for generating 3D facial expression sequences (i. e. 4D faces) that can be conditioned on different inputs to animate an arbitrary 3D face mesh.
