Lars Mescheder
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 4
- Advanced Vision and Imaging 2
- Medical Image Segmentation Techniques 1
- Image and Signal Denoising Methods 1
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- Artificial Intelligence in Games 1
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Andreas Geiger (6 shared papers)Carsten Rother (2 shared papers)Siva Karthik Mustikovela (2 shared papers)Hassan Abu Alhaija (1 shared paper)Sebastian Nowozin (2 shared papers)Michael Oechsle (1 shared paper)Michael Niemeyer (1 shared paper)Katja Schwarz (1 shared paper)
- Journals
- International Journal of Computer Vision (1 paper)Journal of Mathematical Imaging and Vision (1 paper)arXiv (Cornell University) (3 papers)MPG.PuRe (Max Planck Society) (1 paper)
- Partner nations
- GermanySwitzerlandIndia
In The Last Decade
Lars Mescheder
8 papers receiving 610 citations
Lars Mescheder's Hit Papers
Peers
Comparison fields: 5 of 79
- Computer Graphics and Computer-Aided Design 128
- Computer Vision and Pattern Recognition 482
- Computational Mechanics 147
- Geology 32
- Artificial Intelligence 135
Countries citing papers authored by Lars Mescheder
This map shows the geographic impact of Lars Mescheder'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 Lars Mescheder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Mescheder more than expected).
Fields of papers citing papers by Lars Mescheder
This network shows the impact of papers produced by Lars Mescheder. 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 Lars Mescheder. The network helps show where Lars Mescheder may publish in the future.
Co-authors
The 10 scholars most cited alongside Lars Mescheder, 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 | Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes Hit paper breakdown → | 2018 | 277 |
| 2 | 2019 | 134 | |
| 3 | 2020 | 66 | |
| 4 | 2017 | 66 | |
| 5 | 2017 | 48 | |
| 6 | 2017 | 27 | |
| 7 | On the convergence properties of GAN training. | 2018 | 12 |
| 8 | 2017 | 2 |
About Lars Mescheder
Lars Mescheder is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 8 papers that have together received 632 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Vision and Imaging (2 papers), Model Reduction and Neural Networks (2 papers), Computer Graphics and Visualization Techniques (2 papers), Artificial Intelligence in Games (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Medical Image Segmentation Techniques (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (128 citations), Computer Vision and Pattern Recognition (482 citations), Computational Mechanics (147 citations), Geology (32 citations) and Artificial Intelligence (135 citations). Lars Mescheder has collaborated with scholars based in Germany, Switzerland and India. Frequent co-authors include Andreas Geiger, Carsten Rother, Siva Karthik Mustikovela, Hassan Abu Alhaija, Sebastian Nowozin, Michael Oechsle, Michael Niemeyer, Katja Schwarz, Yiyi Liao and Dirk A. Lorenz. Their work appears in journals such as International Journal of Computer Vision, Journal of Mathematical Imaging and Vision, arXiv (Cornell University) and MPG.PuRe (Max Planck Society).
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.