Yuval Alaluf
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- Computer Graphics and Visualization Techniques 4
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- Generative Adversarial Networks and Image Synthesis 11
- Advanced Vision and Imaging 4
- Advanced Image Processing Techniques 3
- Multimodal Machine Learning Applications 3
- Face recognition and analysis 3
- Advanced Image and Video Retrieval Techniques 2
- Video Analysis and Summarization 2
- Computational Mechanics top 5%
- Signal Processing top 10%
- Artificial Intelligence top 10%
- Co-authors
- Daniel Cohen‐OrOr PatashnikOmer TovYotam NitzanYael VinkerAmit H. BermanoRinon GalRon Mokady
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- ACM Transactions on Graphics (7 papers)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
Yuval Alaluf
13 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Computer Graphics and Computer-Aided Design 221
- Computer Vision and Pattern Recognition 896
- Computational Mechanics 164
- Signal Processing 74
- Artificial Intelligence 154
Countries citing papers authored by Yuval Alaluf
This map shows the geographic impact of Yuval Alaluf'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 Yuval Alaluf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuval Alaluf more than expected).
Fields of papers citing papers by Yuval Alaluf
This network shows the impact of papers produced by Yuval Alaluf. 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 Yuval Alaluf. The network helps show where Yuval Alaluf may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Yuval Alaluf, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 21 | |
| 5 | 2023 | 30 | |
| 6 | Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Modelsbreakdown → | 2023 | 173 |
| 7 | 2023 | 22 | |
| 8 | 2023 | 88 | |
| 9 | 2022 | 52 | |
| 10 | HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editingbreakdown → | 2022 | 155 |
| 11 | 2022 | 14 | |
| 12 | Designing an encoder for StyleGAN image manipulationbreakdown → | 2021 | 389 |
| 13 | 2021 | 22 | |
| 14 | 2021 | 78 |
About Yuval Alaluf
Yuval Alaluf is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Biophysics, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (11 papers), Advanced Vision and Imaging (4 papers), Computer Graphics and Visualization Techniques (4 papers), Advanced Image Processing Techniques (3 papers), Multimodal Machine Learning Applications (3 papers), Face recognition and analysis (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (221 citations), Computer Vision and Pattern Recognition (896 citations) and Computational Mechanics (164 citations). Yuval Alaluf has collaborated with scholars based in Israel and United States. Frequent co-authors include Daniel Cohen‐Or, Or Patashnik, Omer Tov, Yotam Nitzan, Yael Vinker, Amit H. Bermano, Rinon Gal, Ron Mokady, Lior Wolf and Hila Chefer. 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.