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Found 3 papers, 2 papers with code
Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion
Diffusion models have shown superior performance in image generation and manipulation, but the inherent stochasticity presents challenges in preserving and manipulating image content and identity.
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer
Diffusion models have shown great promise in text-guided image style transfer, but there is a trade-off between style transformation and content preservation due to their stochastic nature.
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaIN
We also show that the quality of generated images can be further improved if intermediate kernel domain images are available.
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