Abhimitra Meka
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Image Enhancement Techniques
- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Advanced Image Processing Techniques
Papers in
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- Computer Graphics and Visualization Techniques 6
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- Advanced Vision and Imaging 9
- Face recognition and analysis 5
- Generative Adversarial Networks and Image Synthesis 4
- Image Enhancement Techniques 3
- Image and Signal Denoising Methods 1
- Co-authors
- Christian TheobaltMichael ZollhöferChristian RichardtAyush TewariLingjie LiuThomas LeimkühlerXingang PanThabo Beeler
- Journals
- ACM Transactions on Graphics (3 papers)Computer Graphics Forum (2 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)Pure (University of Bath) (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Abhimitra Meka
13 papers receiving 339 citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Computer Graphics and Computer-Aided Design 165
- Computer Vision and Pattern Recognition 278
- Computational Mechanics 99
- Media Technology 37
- Geology 18
Countries citing papers authored by Abhimitra Meka
This map shows the geographic impact of Abhimitra Meka'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 Abhimitra Meka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhimitra Meka more than expected).
Fields of papers citing papers by Abhimitra Meka
This network shows the impact of papers produced by Abhimitra Meka. 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 Abhimitra Meka. The network helps show where Abhimitra Meka may publish in the future.
Co-authors
The 25 scholars most cited alongside Abhimitra Meka, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 18 | |
| 6 | Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold Hit paper breakdown → | 2023 | 110 |
| 7 | 2022 | 19 | |
| 8 | 2021 | 13 | |
| 9 | Deep Relightable Textures Volumetric Performance Capture with Neural Rendering | 2020 | 36 |
| 10 | 2018 | 55 | |
| 11 | 2017 | 17 | |
| 12 | 2016 | 54 | |
| 13 | 2014 | 15 |
About Abhimitra Meka
Abhimitra Meka is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Human-Computer Interaction and Media Technology, having authored 13 papers that have together received 352 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Computer Graphics and Visualization Techniques (6 papers), Face recognition and analysis (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Image Enhancement Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers), Sparse and Compressive Sensing 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 (165 citations), Computer Vision and Pattern Recognition (278 citations), Computational Mechanics (99 citations), Media Technology (37 citations) and Geology (18 citations). Abhimitra Meka has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Christian Theobalt, Michael Zollhöfer, Christian Richardt, Ayush Tewari, Lingjie Liu, Thomas Leimkühler, Xingang Pan, Thabo Beeler, Subhasis Chaudhuri and Hans-Peter Seidel. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Geoscience and Remote Sensing and Pure (University of Bath).
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.