Yuval Alaluf
- Computer Vision and Pattern Recognition top 1%
- Computer Graphics and Computer-Aided Design top 1%
- Computational Mechanics top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Co-authors
- Daniel Cohen‐OrOr PatashnikOmer TovYotam NitzanYael VinkerAmit H. BermanoRinon GalRon Mokady
- Topics
- Generative Adversarial Networks and Image Synthesis (11 papers)Advanced Vision and Imaging (4 papers)Computer Graphics and Visualization Techniques (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- ACM Transactions on GraphicsComputer Graphics Forum2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- 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 Vision and Pattern Recognition 896
- Computer Graphics and Computer-Aided Design 221
- Computational Mechanics 164
- Artificial Intelligence 154
- Signal Processing 74
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 of co-authors of Yuval Alaluf
This figure shows the co-authorship network connecting the top 25 collaborators of Yuval Alaluf. A scholar is included among the top collaborators of Yuval Alaluf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuval Alaluf. Yuval Alaluf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 21 | |
| 5 | 30 | |
| 6 | Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Modelsbreakdown → | 173 |
| 7 | 22 | |
| 8 | 88 | |
| 9 | 52 | |
| 10 | HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editingbreakdown → | 155 |
| 11 | 14 | |
| 12 | Designing an encoder for StyleGAN image manipulationbreakdown → | 389 |
| 13 | 22 | |
| 14 | 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) and Computer Graphics and Visualization Techniques (4 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.