Omer Tov
Impact in
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- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Digital Media Forensic Detection
Papers in
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- Generative Adversarial Networks and Image Synthesis 10
- Advanced Image Processing Techniques 4
- Advanced Vision and Imaging 3
- Video Analysis and Summarization 3
- Digital Media Forensic Detection 2
- Image and Signal Denoising Methods 1
- Advanced Data Compression Techniques 1
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- Computer Graphics and Visualization Techniques 2
- Co-authors
- Yuval Alaluf (4 shared papers)Daniel Cohen‐Or (4 shared papers)Or Patashnik (3 shared papers)Yotam Nitzan (3 shared papers)Inbar Mosseri (6 shared papers)Tali Dekel (6 shared papers)Shiran Zada (5 shared papers)Michal Irani (3 shared papers)
- Journals
- ACM Transactions on Graphics (4 papers)Computer Graphics Forum (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Omer Tov
12 papers receiving 1.1k citations
Omer Tov's Hit Papers
Peers
Comparison fields: 5 of 85
- Computer Graphics and Computer-Aided Design 202
- Computer Vision and Pattern Recognition 948
- Signal Processing 75
- Artificial Intelligence 184
- Computational Mechanics 110
Countries citing papers authored by Omer Tov
This map shows the geographic impact of Omer Tov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Omer Tov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omer Tov more than expected).
Fields of papers citing papers by Omer Tov
This network shows the impact of papers produced by Omer Tov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Omer Tov. The network helps show where Omer Tov may publish in the future.
Co-authors
The 25 scholars most cited alongside Omer Tov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Designing an encoder for StyleGAN image manipulation Hit paper breakdown → | 2021 | 403 |
| 2 | Imagic: Text-Based Real Image Editing with Diffusion Models Hit paper breakdown → | 2023 | 386 |
| 3 | HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing Hit paper breakdown → | 2022 | 163 |
| 4 | 2022 | 54 | |
| 5 | 2024 | 52 | |
| 6 | 2023 | 23 | |
| 7 | 2021 | 22 | |
| 8 | 2022 | 19 | |
| 9 | 2024 | 7 | |
| 10 | 2023 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2025 | 2 |
About Omer Tov
Omer Tov is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Media Technology, Economics and Econometrics and Biophysics, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (10 papers), Advanced Image Processing Techniques (4 papers), Advanced Vision and Imaging (3 papers), Video Analysis and Summarization (3 papers), Digital Media Forensic Detection (2 papers), Computer Graphics and Visualization Techniques (2 papers), Image and Signal Denoising Methods (1 paper) and Advanced Data Compression Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (202 citations), Computer Vision and Pattern Recognition (948 citations), Signal Processing (75 citations), Artificial Intelligence (184 citations) and Computational Mechanics (110 citations). Omer Tov has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Yuval Alaluf, Daniel Cohen‐Or, Or Patashnik, Yotam Nitzan, Inbar Mosseri, Tali Dekel, Shiran Zada, Michal Irani, Oran Lang and Hui‐Wen Chang. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.