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Found 4 papers, 1 papers with code
Plug-and-Play Diffusion Distillation
Furthermore, once trained, our guide model can be applied to various fine-tuned, domain-specific versions of the base diffusion model without the need for additional training: this "plug-and-play" functionality drastically improves inference computation while maintaining the visual fidelity of generated images.
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization
This strategy enables the model to preserve fine details of the desired subjects, such as text and logos.
Face Image Retrieval With Attribute Manipulation
For example, a user can ask for retrieving images similar to a query image, but with a different hair color, and no preference for absence/presence of eyeglasses in the results.
Component Attention Guided Face Super-Resolution Network: CAGFace
To make the best use of the underlying structure of faces, the collective information through face datasets and the intermediate estimates during the upsampling process, here we introduce a fully convolutional multi-stage neural network for 4$\times$ super-resolution for face images.
