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Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
April 2, 2024, 7:45 p.m. | Hyelin Nam, Gihyun Kwon, Geon Yeong Park, Jong Chul Ye
cs.LG updates on arXiv.org arxiv.org
Abstract: With the remarkable advent of text-to-image diffusion models, image editing methods have become more diverse and continue to evolve. A promising recent approach in this realm is Delta Denoising Score (DDS) - an image editing technique based on Score Distillation Sampling (SDS) framework that leverages the rich generative prior of text-to-image diffusion models. However, relying solely on the difference between scoring functions is insufficient for preserving specific structural elements from the original image, a crucial …
arxiv cs.ai cs.cv cs.lg denoising diffusion editing image text type
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