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Visually Guided Object Insertion Into Image

Adi Tsach and Aya Spira

Supervised by Noam Rotstein and Roee Ganz

Abstract

The field of image editing with diffusion models has advanced significantly in recent years. Traditionally, many techniques necessitated manual annotation to designate the insertion point of an object within an image. Our newly proposed method, however, relies solely on textual descriptions to integrate objects into images. In our project, we aim to substitute the textual descriptions of desired objects with their corresponding images.

Dataset - ADT1999/project_from_PIPE_extended
Code - https://github.com/AdiTsachGit/ML-Geometric-Image-Processing-Project.git

Pictures
Project Visually Guided Object Insertion Into Image Picture 1
Project Report

Please, see project report.

Final Presentation

Please, see final presentation.

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