Robin Rombach
Impact in
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- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 10
- Advanced Vision and Imaging 3
- Multimodal Machine Learning Applications 3
- Advanced Image Processing Techniques 2
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- Adversarial Robustness in Machine Learning 2
- Explainable Artificial Intelligence (XAI) 2
- Co-authors
- Andreas Blattmann (5 shared papers)Patrick Esser (5 shared papers)Björn Ommer (5 shared papers)Karsten Kreis (2 shared papers)Sanja Fidler (2 shared papers)Seung Wook Kim (2 shared papers)Tim Dockhorn (2 shared papers)Huan Ling (1 shared paper)
- Journals
- Lecture notes in computer science (3 papers)arXiv (Cornell University) (2 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Robin Rombach
11 papers receiving 8.3k citations
Robin Rombach's Hit Papers
Peers
Comparison fields: 5 of 174
- Computer Graphics and Computer-Aided Design 1.1k
- Computer Vision and Pattern Recognition 5.3k
- Artificial Intelligence 2.1k
- Signal Processing 558
- Health Informatics 62
Countries citing papers authored by Robin Rombach
This map shows the geographic impact of Robin Rombach'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 Robin Rombach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Rombach more than expected).
Fields of papers citing papers by Robin Rombach
This network shows the impact of papers produced by Robin Rombach. 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 Robin Rombach. The network helps show where Robin Rombach may publish in the future.
Co-authors
The 21 scholars most cited alongside Robin Rombach, 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 | High-Resolution Image Synthesis with Latent Diffusion Models Hit paper breakdown → | 2022 | 7880 |
| 2 | Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models Hit paper breakdown → | 2023 | 366 |
| 3 | On Distillation of Guided Diffusion Models Hit paper breakdown → | 2023 | 160 |
| 4 | Adversarial Diffusion Distillation Hit paper breakdown → | 2024 | 83 |
| 5 | 2024 | 39 | |
| 6 | 2023 | 36 | |
| 7 | 2024 | 24 | |
| 8 | 2020 | 7 | |
| 9 | 2020 | 5 | |
| 10 | Network Fusion for Content Creation with Conditional INNs. | 2020 | 2 |
| 11 | 2022 | 2 |
About Robin Rombach
Robin Rombach is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Statistical and Nonlinear Physics and Computational Mechanics, having authored 11 papers that have together received 8.6k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (10 papers), Advanced Vision and Imaging (3 papers), Computer Graphics and Visualization Techniques (3 papers), Multimodal Machine Learning Applications (3 papers), Advanced Image Processing Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.1k citations), Computer Vision and Pattern Recognition (5.3k citations), Artificial Intelligence (2.1k citations), Signal Processing (558 citations) and Health Informatics (62 citations). Robin Rombach has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Andreas Blattmann, Patrick Esser, Björn Ommer, Karsten Kreis, Sanja Fidler, Seung Wook Kim, Tim Dockhorn, Huan Ling, Ruiqi Gao and Diederik P. Kingma. Their work appears in journals such as Lecture notes in computer science, arXiv (Cornell University) 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.