Robin Rombach

18.7k citations
14 papers · 10.4k · 4 hit papers · h-index 9

Impact in

Papers in

Journals
Lecture notes in computer science (3 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)arXiv (Cornell University) (3 papers)

In The Last Decade

Robin Rombach

14 papers receiving 10.1k citations

Robin Rombach's Hit Papers

Adversarial Diffusion Distillation 2024 · 118 citations
1180+1+2Years since publication2.5k5.0k7.5k

Peers

Robin Rombach
Comparison fields: 5 of 179
  • Computer Graphics and Computer-Aided Design 1.3k
  • Computer Vision and Pattern Recognition 6.0k
  • Artificial Intelligence 2.4k
  • Signal Processing 624
  • Media Technology 474
Replace Andreas Blattmann with:
Andreas Blattmann Germany
Björn Ommer Germany
Justin M. Johnson United States
Richard Zhang United States
Alexandru Cristian Telea Netherlands
Song‐Chun Zhu United States
Ying Shan China
Xiaohui Shen United States
Jean Pouget-Abadie United States
Robin Rombach relative to Andreas Blattmann Germany Andreas Blattmann's profile →
Citations per field
00.5×5×10×13×
Andreas Blattmann · 1×
Citations per year

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-authors

The 22 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.

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

All Works

14 of 14 papers shown
#Work
1
High-Resolution Image Synthesis with Latent Diffusion Models
Hit paper breakdown →
20229374
2
Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
Hit paper breakdown →
2023447
3
On Distillation of Guided Diffusion Models
Hit paper breakdown →
2023197
4
Adversarial Diffusion Distillation
Hit paper breakdown →
2024118
5 202462
6 202162
7 202440
8 202338
9 20209
10 20225
11 20223
12 20212
13 20212
14 20201

About Robin Rombach

Robin Rombach is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Statistical and Nonlinear Physics and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 10.4k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (12 papers), Advanced Vision and Imaging (5 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced Image Processing Techniques (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Adversarial Robustness in Machine Learning (3 papers), Advanced Neural Network Applications (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.3k citations), Computer Vision and Pattern Recognition (6.0k citations), Artificial Intelligence (2.4k citations), Signal Processing (624 citations) and Media Technology (474 citations). Robin Rombach has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Andreas Blattmann, Björn Ommer, Patrick Esser, Tim Dockhorn, Karsten Kreis, Seung Wook Kim, Sanja Fidler, Huan Ling, Diederik P. Kingma and Ruiqi Gao. Their work appears in journals such as Lecture notes in computer science, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

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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