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20162026
most citedBlended Diffusion for Text-driven Editing of Natural Images

752 citations · 1.5k across the 33 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 153 cited

SpaText: Spatio-Textual Representation for Controllable Image Generation

Omri Avrahami, Thomas Hayes, Oran Gafni +6

Recent text-to-image diffusion models are able to generate convincing results of unprecedented quality. However, it is nearly impossible to control the shapes of different regions/…

cs.CV2022

What's in a Decade? Transforming Faces Through Time

Eric Ming Chen, Jin Sun, Apoorv Khandelwal +3

How can one visually characterize people in a decade? In this work, we assemble the Faces Through Time dataset, which contains over a thousand portrait images from each decade, spa…

cs.CV2022

Shape-Pose Disentanglement using SE(3)-equivariant Vector Neurons

Oren Katzir, Dani Lischinski, Daniel Cohen-Or

We introduce an unsupervised technique for encoding point clouds into a canonical shape representation, by disentangling shape and pose. Our encoder is stable and consistent, meani…

cs.CV2022★ 1 cited

Multi-level Latent Space Structuring for Generative Control

Oren Katzir, Vicky Perepelook, Dani Lischinski +1

Truncation is widely used in generative models for improving the quality of the generated samples, at the expense of reducing their diversity. We propose to leverage the StyleGAN g…

cs.CV2022★ 4 cited

Third Time's the Charm? Image and Video Editing with StyleGAN3

Yuval Alaluf, Or Patashnik, Zongze Wu +4

StyleGAN is arguably one of the most intriguing and well-studied generative models, demonstrating impressive performance in image generation, inversion, and manipulation. In this w…