Fine-grained facial expression editing is now possible with precise control and identity preservation by disentangling expression semantics through symmetric joint training and contrastive learning.
PixelSmile is a new method for editing facial expressions in images with fine-grained control. It uses a diffusion model trained with a special technique to separate expression changes from identity, allowing smooth blending between different expressions while keeping a person's identity intact.