Rinon Gal

2.0k citations
20 papers · 817 · 3 hit papers · h-index 11

Impact in

Papers in

    • Generative Adversarial Networks and Image Synthesis 13
    • Multimodal Machine Learning Applications 5
    • Image Retrieval and Classification Techniques 5
    • Advanced Image Processing Techniques 4
    • Advanced Image and Video Retrieval Techniques 4
    • Video Analysis and Summarization 4
    • Image and Signal Denoising Methods 2
    • Computer Graphics and Visualization Techniques 4

Rinon Gal

20 papers receiving 775 citations

Hit Papers

Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models 2023 · 87 citations
870+1+2Years since publication50100150200250

Peers

Rinon Gal
Comparison fields: 5 of 70
  • Computer Graphics and Computer-Aided Design 170
  • Computer Vision and Pattern Recognition 672
  • Signal Processing 51
  • Artificial Intelligence 137
  • Computational Mechanics 84
Replace Omri Avrahami with:
Omri Avrahami Israel
Yuval Alaluf Israel
Or Patashnik Israel
Ron Mokady Israel
Duanqing Xu China
Yuheng Li United States
Cengiz Öztireli Switzerland
Chengying Gao China
William Freeman United States
Jiemin Fang China
Rinon Gal relative to Omri Avrahami Israel Omri Avrahami's profile →
Citations per field
00.5×10×20×30×42×
Omri Avrahami · 1×
Citations per year

Countries citing papers authored by Rinon Gal

Since Specialization
Citations

This map shows the geographic impact of Rinon Gal'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 Rinon Gal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rinon Gal more than expected).

Fields of papers citing papers by Rinon Gal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rinon Gal. 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 Rinon Gal. The network helps show where Rinon Gal may publish in the future.

Co-authors

The 25 scholars most cited alongside Rinon Gal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rinon Gal Line = papers co-authored together Rinon Gal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
StyleGAN-NADA
Hit paper breakdown →
2022269
2
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
Hit paper breakdown →
2022155
3
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
Hit paper breakdown →
202387
4 202364
5 202252
6 202150
7 202245
8 202327
9 202415
10 202115
11 202211
12 20247
13 20245
14 20244
15 20203
16 20242
17 20252
18 20212
19 20251
20 20221

About Rinon Gal

Rinon Gal is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Cellular and Molecular Neuroscience, Control and Systems Engineering and Information Systems, having authored 20 papers that have together received 817 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (13 papers), Multimodal Machine Learning Applications (5 papers), Image Retrieval and Classification Techniques (5 papers), Advanced Image Processing Techniques (4 papers), Computer Graphics and Visualization Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Video Analysis and Summarization (4 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (170 citations), Computer Vision and Pattern Recognition (672 citations), Signal Processing (51 citations), Artificial Intelligence (137 citations) and Computational Mechanics (84 citations). Rinon Gal has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Amit H. Bermano, Daniel Cohen‐Or, Gal Chechik, Or Patashnik, Ron Mokady, Haggai Maron, Yuval Alaluf, Omer Tov, Yuval Atzmon and Yotam Nitzan. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, Brain 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.

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