Dolev Ofri-Amar — accepted AI-conference papers

2023

Neural Congealing: Aligning Images to a Joint Semantic Atlas

Dolev Ofri-Amar, Michal Geyer, Yoni Kasten, Tali Dekel

CVPR 2023poster

We present Neural Congealing -- a zero-shot self-supervised framework for detecting and jointly aligning semantically-common content across a given set of images. Our approach harnesses the power of pre-trained DINO-ViT features to learn: (i) a joint semantic atlas -- a 2D grid that captures the mod…

Cited by 16 Source ↗PDF ↗Scholar ↗

2022

Text2LIVE: Text-Driven Layered Image and Video Editing

Omer Bar-Tal, Dolev Ofri-Amar, Rafail Fridman, Yoni Kasten, Tali Dekel

ECCV 2022poster

"We present a method for zero-shot, text-driven editing of natural images and videos. Given an image or a video and a text prompt, our goal is to edit the appearance of existing objects (e.g., texture) or augment the scene with visual effects (e.g., smoke, fire) in a semantic manner. We train a gene…

Cited by 364 Source ↗PDF ↗code ↗Scholar ↗