Omri Avrahami
Impact in
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- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 6
- Multimodal Machine Learning Applications 3
- Image Retrieval and Classification Techniques 2
- Handwritten Text Recognition Techniques 1
- Video Analysis and Summarization 1
- Digital Media Forensic Detection 1
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- Computer Graphics and Visualization Techniques 3
- Co-authors
- Dani Lischinski (9 shared papers)Ohad Fried (7 shared papers)Daniel Cohen‐Or (4 shared papers)Kfir Aberman (2 shared papers)Xi Yin (1 shared paper)Devi Parikh (1 shared paper)Thomas Hayes (1 shared paper)Sonal Gupta (1 shared paper)
- Journals
- ACM Transactions on Graphics (1 paper)Computer Graphics Forum (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Omri Avrahami
9 papers receiving 726 citations
Omri Avrahami's Hit Papers
Peers
Comparison fields: 5 of 73
- Computer Graphics and Computer-Aided Design 178
- Computer Vision and Pattern Recognition 580
- Computational Mechanics 85
- Signal Processing 43
- Artificial Intelligence 125
Countries citing papers authored by Omri Avrahami
This map shows the geographic impact of Omri Avrahami'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 Omri Avrahami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omri Avrahami more than expected).
Fields of papers citing papers by Omri Avrahami
This network shows the impact of papers produced by Omri Avrahami. 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 Omri Avrahami. The network helps show where Omri Avrahami may publish in the future.
Co-authors
The 21 scholars most cited alongside Omri Avrahami, 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 | Blended Diffusion for Text-driven Editing of Natural Images Hit paper breakdown → | 2022 | 412 |
| 2 | Blended Latent Diffusion Hit paper breakdown → | 2023 | 166 |
| 3 | 2023 | 81 | |
| 4 | 2023 | 59 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2025 | 1 | |
| 10 | 2026 | 0 |
About Omri Avrahami
Omri Avrahami is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Literature and Literary Theory, Computational Mechanics and Artificial Intelligence, having authored 10 papers that have together received 745 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (6 papers), Multimodal Machine Learning Applications (3 papers), Computer Graphics and Visualization Techniques (3 papers), Image Retrieval and Classification Techniques (2 papers), Handwritten Text Recognition Techniques (1 paper), Computational and Text Analysis Methods (1 paper), Video Analysis and Summarization (1 paper) and Digital Media Forensic Detection (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (178 citations), Computer Vision and Pattern Recognition (580 citations), Computational Mechanics (85 citations), Signal Processing (43 citations) and Artificial Intelligence (125 citations). Omri Avrahami has collaborated with scholars based in Israel and United States. Frequent co-authors include Dani Lischinski, Ohad Fried, Daniel Cohen‐Or, Kfir Aberman, Xi Yin, Devi Parikh, Thomas Hayes, Sonal Gupta, Yaniv Taigman and Oran Gafni. 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.