2 citations · 3 across the 9 of their papers we have counts for
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cs.CV2023★ 1 cited
Cross-Image Attention for Zero-Shot Appearance Transfer
Yuval Alaluf, Daniel Garibi, Or Patashnik +2
Recent advancements in text-to-image generative models have demonstrated a remarkable ability to capture a deep semantic understanding of images. In this work, we leverage this sem…
cs.CV2023★ 2 cited
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
Or Patashnik, Daniel Garibi, Idan Azuri +2
Text-to-image models give rise to workflows which often begin with an exploration step, where users sift through a large collection of generated images. The global nature of the te…