Robin Rombach

14.8k total citations · 3 hit papers
7 papers, 6.5k citations indexed

About

Robin Rombach is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Statistical and Nonlinear Physics. According to data from OpenAlex, Robin Rombach has authored 7 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Computer Graphics and Computer-Aided Design and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Robin Rombach's work include Generative Adversarial Networks and Image Synthesis (7 papers), Multimodal Machine Learning Applications (3 papers) and Computer Graphics and Visualization Techniques (2 papers). Robin Rombach is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (7 papers), Multimodal Machine Learning Applications (3 papers) and Computer Graphics and Visualization Techniques (2 papers). Robin Rombach collaborates with scholars based in Germany, Canada and United States. Robin Rombach's co-authors include Andreas Blattmann, Björn Ommer, Patrick Esser, Seung Wook Kim, Karsten Kreis, Sanja Fidler, Tim Dockhorn, Huan Ling, Stefano Ermon and Chenlin Meng and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Robin Rombach

7 papers receiving 6.3k 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 →
On Distillation of Guided Diffusion Models

2023 117 citations Chenlin Meng, 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
Robin Rombach Germany	6	4.0k	1.6k	827	548	445	7	6.5k
Andreas Blattmann Germany	4	3.9k 1.0×	1.6k 1.0×	804 1.0×	531 1.0×	438 1.0×	5	6.3k
Björn Ommer Germany	21	4.5k 1.1×	1.9k 1.1×	835 1.0×	569 1.0×	468 1.1×	68	7.4k
Ming-Yu Liu United States	26	6.4k 1.6×	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 1.3×	852 1.0×	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 0.8×	286 0.6×	81	9.3k
Bryan Catanzaro United States	24	3.0k 0.8×	1.3k 0.8×	346 0.4×	296 0.5×	368 0.8×	64	6.0k
Sanja Fidler Canada	53	10.2k 2.6×	3.5k 2.1×	1.1k 1.3×	1.2k 2.2×	338 0.8×	144	13.4k
Jean Pouget-Abadie United States	6	3.3k 0.8×	2.5k 1.5×	254 0.3×	299 0.5×	574 1.3×	11	8.2k

Countries citing papers authored by Robin Rombach

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Robin Rombach

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

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

2.

Kim, Seung Wook, Bradley Brown, Kangxue Yin, et al.. (2023). NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. 8496–8506. 25 indexed citations

3.

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 →

4.

Meng, Chenlin, Robin Rombach, Ruiqi Gao, et al.. (2023). On Distillation of Guided Diffusion Models. 14297–14306. 117 indexed citations breakdown →

5.

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 →

6.

Rombach, Robin, Patrick Esser, & Björn Ommer. (2020). Network Fusion for Content Creation with Conditional INNs.. arXiv (Cornell University). 1 indexed citations

7.

Rombach, Robin, Patrick Esser, & Björn Ommer. (2020). Network-to-Network Translation with Conditional Invertible Neural Networks. arXiv (Cornell University). 33. 2784–2797. 5 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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