Andreas Blattmann
Impact in
-
- Computer Graphics and Visualization Techniques
-
- 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
-
- Generative Adversarial Networks and Image Synthesis 6
- Advanced Vision and Imaging 3
- Advanced Image Processing Techniques 3
- Human Pose and Action Recognition 1
- Advanced Neural Network Applications 1
- Video Surveillance and Tracking Methods 1
-
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Robin Rombach (5 shared papers)Björn Ommer (3 shared papers)Patrick Esser (2 shared papers)Tim Dockhorn (2 shared papers)Huan Ling (1 shared paper)Karsten Kreis (1 shared paper)Seung Wook Kim (1 shared paper)Sanja Fidler (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
In The Last Decade
Andreas Blattmann
7 papers receiving 8.1k citations
Andreas Blattmann's Hit Papers
Peers
Comparison fields: 5 of 174
- Computer Graphics and Computer-Aided Design 1.1k
- Computer Vision and Pattern Recognition 5.1k
- Artificial Intelligence 2.1k
- Signal Processing 548
- Health Informatics 62
Countries citing papers authored by Andreas Blattmann
This map shows the geographic impact of Andreas Blattmann'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 Andreas Blattmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Blattmann more than expected).
Fields of papers citing papers by Andreas Blattmann
This network shows the impact of papers produced by Andreas Blattmann. 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 Andreas Blattmann. The network helps show where Andreas Blattmann may publish in the future.
Co-authors
The 9 scholars most cited alongside Andreas Blattmann, 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 | Adversarial Diffusion Distillation Hit paper breakdown → | 2024 | 83 |
| 4 | 2024 | 24 | |
| 5 | 2021 | 23 | |
| 6 | 2020 | 4 | |
| 7 | 2022 | 2 |
About Andreas Blattmann
Andreas Blattmann is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Biomedical Engineering and Infectious Diseases, having authored 7 papers that have together received 8.4k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (6 papers), Advanced Vision and Imaging (3 papers), Advanced Image Processing Techniques (3 papers), Computer Graphics and Visualization Techniques (1 paper), Human Pose and Action Recognition (1 paper), Advanced Neural Network Applications (1 paper), Video Surveillance and Tracking Methods (1 paper) and Adversarial Robustness in Machine Learning (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 (5.1k citations), Artificial Intelligence (2.1k citations), Signal Processing (548 citations) and Health Informatics (62 citations). Andreas Blattmann has collaborated with scholars based in Germany and Canada. Frequent co-authors include Robin Rombach, Björn Ommer, Patrick Esser, Tim Dockhorn, Huan Ling, Karsten Kreis, Seung Wook Kim, Sanja Fidler and Jürgen Beyerer. Their work appears in journals such as Lecture notes in computer science, Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.