Stanislav Frolov

Hi, I'm a 4th year Ph.D. student at TU Kaiserslautern and German Research Center for Artificial Intelligence, advised by Prof. Andreas Dengel.

My main interests are computer vision and machine learning. I use deep generative models for controlled image synthesis.

During summer 2021, I interned at Adobe Research working on image editing. Currently, I'm interning at Meta AI working on image generation.

Previously, I've worked at inovex as a data engineer, and completed my B.Sc. and M.Sc degrees in Electrical Engineering at the Karlsruhe Institute of Technology.

If you are interested in similar topics, want to chat or collaborate, feel free to contact me.

Email  /  Google Scholar  /  LinkedIn  /  GitHub  /  Twitter

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  • [10/2022] Our new Super-Resolution Survey paper is online.
  • [08/2022] Started research internship at Meta AI in Paris working on image generation.
  • [07/2022] Our DT2I paper got accepted to ICANN 2022.
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances
Brian Moser, Federico Raue, Stanislav Frolov, Jörn Hees, Sebastian Palacio, Andreas Dengel
arXiv, 2022
DT2I: Dense Text-to-Image Generation from Region Descriptions
Stanislav Frolov*, Prateek Bansal*, Jörn Hees, Andreas Dengel
ICANN, 2022
Combining Transformer Generators with Convolutional Discriminators
Ricard Durall*, Stanislav Frolov*, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper
GCAI, 2021
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style
Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel
GCPR, 2021
Adversarial Text-to-Image Synthesis: A Review
Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel
Neural Networks Journal, 2021
Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching
Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel
Leveraging Visual Question Answering to Improve Text-to-Image Synthesis
Stanislav Frolov, Shailza Jolly, Jörn Hees, Andreas Dengel
LANTERN workshop at COLING, 2020

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