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A Reference List to Learn More About Image Editing, Video Editing, and Diffusion Modelsby@kinetograph

A Reference List to Learn More About Image Editing, Video Editing, and Diffusion Models

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We thank Narek Tumanyan for his valuable comments and discussion. We thank Hila Chefer for proofreading the paper. We thank the authors of Gen-1 and of Fate-Zero for their help in running their comparisons.
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Abstract and 1. Introduction

2 Related Work

3 Preliminaries

4 Method

4.1 Key Sample and Joint Editing

4.2 Edit Propagation Via TokenFlow

5 Results

5.1 Qualitative Evaluation and 5.2 Quantitative Evaluation

5.3 Ablation Study

6 Discussion

7 Acknowledgement and References

A Implementation Details

7 ACKNOWLEDGEMENT

We thank Narek Tumanyan for his valuable comments and discussion. We thank Hila Chefer for proofreading the paper. We thank the authors of Gen-1 and of Fate-Zero for their help in running their comparisons. This project received funding from the Israeli Science Foundation (grant 2303/20), the Carolito Stiftung, and the NVIDIA Applied Research Accelerator Program. Dr. Bagon is a Robin Chemers Neustein AI Fellow. We thank GEN-1 authors and Fate-Zero authors for their help in conducting comparisons.

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Table 3: We report average runtime in seconds, of running ours and competing methods on a video of 40 frames.


We provide additional implementation details below. We refer the reader to the HTML file attached to our Supplementary Material for video results.


This paper is available on arxiv under CC BY 4.0 DEED DEED license.

Authors:

(1) Michal Geyer, Weizmann Institute of Science and Indicates equal contribution;

(2) Omer Bar-Tal, Weizmann Institute of Science and Indicates equal contribution;

(3) Shai Bagon, Weizmann Institute of Science;

(4) Tali Dekel, Weizmann Institute of Science.