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IterInv: Iterative Inversion for Pixel-Level T2I Models
April 23, 2024, 4:48 a.m. | Chuanming Tang, Kai Wang, Joost van de Weijer
cs.CV updates on arXiv.org arxiv.org
Abstract: Large-scale text-to-image diffusion models have been a ground-breaking development in generating convincing images following an input text prompt. The goal of image editing research is to give users control over the generated images by modifying the text prompt. Current image editing techniques predominantly hinge on DDIM inversion as a prevalent practice rooted in Latent Diffusion Models (LDM). However, the large pretrained T2I models working on the latent space suffer from losing details due to the …
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