472 citations · 487 across the 5 of their papers we have counts for
5 papers · 1 filter
Cross-domain Compositing with Pretrained Diffusion Models
Roy Hachnochi, Mingrui Zhao, Nadav Orzech +4
Diffusion models have enabled high-quality, conditional image editing capabilities. We propose to expand their arsenal, and demonstrate that off-the-shelf diffusion models can be u…
Single Motion Diffusion
Sigal Raab, Inbal Leibovitch, Guy Tevet +3
Synthesizing realistic animations of humans, animals, and even imaginary creatures, has long been a goal for artists and computer graphics professionals. Compared to the imaging do…
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…
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…
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…