Andreas Blattmann

14.4k total citations · 2 hit papers
5 papers, 6.3k citations indexed

About

Andreas Blattmann is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Infectious Diseases. According to data from OpenAlex, Andreas Blattmann has authored 5 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 1 paper in Computer Graphics and Computer-Aided Design and 0 papers in Infectious Diseases. Recurrent topics in Andreas Blattmann's work include Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Vision and Imaging (3 papers) and Advanced Image Processing Techniques (3 papers). Andreas Blattmann is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Vision and Imaging (3 papers) and Advanced Image Processing Techniques (3 papers). Andreas Blattmann collaborates with scholars based in Germany and Canada. Andreas Blattmann's co-authors include Robin Rombach, Björn Ommer, Patrick Esser, Tim Dockhorn, Huan Ling, Seung Wook Kim, Karsten Kreis, Sanja Fidler, Peter D. Esser and Jürgen Beyerer and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

In The Last Decade

Andreas Blattmann

5 papers receiving 6.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

High-Resolution Image Synthesis with Latent Diffusion Models

2022 6.0k citations Robin Rombach, Andreas Blattmann et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

2023 249 citations Andreas Blattmann, Robin Rombach et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andreas Blattmann Germany	4	3.9k	1.6k	804	531	438	5	6.3k
Robin Rombach Germany	6	4.0k 1.0×	1.6k 1.0×	827 1.0×	548 1.0×	445 1.0×	7	6.5k
Björn Ommer Germany	21	4.5k 1.2×	1.9k 1.2×	835 1.0×	569 1.1×	468 1.1×	68	7.4k
Ming-Yu Liu United States	26	6.4k 1.7×	1.2k 0.7×	982 1.2×	711 1.3×	354 0.8×	73	8.2k
Fang Wen China	39	5.5k 1.4×	1.4k 0.9×	461 0.6×	497 0.9×	1.0k 2.3×	125	7.0k
James Hays United States	37	8.1k 2.1×	2.2k 1.4×	852 1.1×	635 1.2×	308 0.7×	80	10.0k
Derek Hoiem United States	36	7.4k 1.9×	3.4k 2.1×	494 0.6×	452 0.9×	286 0.7×	81	9.3k
Bryan Catanzaro United States	24	3.0k 0.8×	1.3k 0.8×	346 0.4×	296 0.6×	368 0.8×	64	6.0k
Jean Pouget-Abadie United States	6	3.3k 0.9×	2.5k 1.5×	254 0.3×	299 0.6×	574 1.3×	11	8.2k
Sanja Fidler Canada	53	10.2k 2.6×	3.5k 2.2×	1.1k 1.3×	1.2k 2.3×	338 0.8×	144	13.4k

Countries citing papers authored by Andreas Blattmann

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Andreas Blattmann

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Blattmann. A scholar is included among the top collaborators of Andreas Blattmann 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 Andreas Blattmann. Andreas Blattmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Dockhorn, Tim, et al.. (2024). Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation. 1–11. 13 indexed citations

2.

Blattmann, Andreas, Robin Rombach, Huan Ling, et al.. (2023). Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models. 22563–22575. 249 indexed citations breakdown →

3.

Rombach, Robin, et al.. (2022). High-Resolution Image Synthesis with Latent Diffusion Models. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10674–10685. 6044 indexed citations breakdown →

4.

Blattmann, Andreas, et al.. (2021). iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 14687–14697. 15 indexed citations

5.

Blattmann, Andreas, et al.. (2020). Image domain adaption of simulated data for human pose estimation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 19–19. 2 indexed citations

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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