472 citations · 502 across the 12 of their papers we have counts for
3 papers
cs.CV2022★ 472 cited
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon +4
Text-to-image models offer unprecedented freedom to guide creation through natural language. Yet, it is unclear how such freedom can be exercised to generate images of specific uni…
cs.CV2021
Leveraging in-domain supervision for unsupervised image-to-image translation tasks via multi-stream generators
Dvir Yerushalmi, Dov Danon, Amit H. Bermano
Supervision for image-to-image translation (I2I) tasks is hard to come by, but bears significant effect on the resulting quality. In this paper, we observe that for many Unsupervis…
cs.CV2021
Learned Queries for Efficient Local Attention
Moab Arar, Ariel Shamir, Amit H. Bermano
Vision Transformers (ViT) serve as powerful vision models. Unlike convolutional neural networks, which dominated vision research in previous years, vision transformers enjoy the ab…