Stanislav Frolov

Hi, I'm a 4th year Ph.D. student at RPTU 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.

In 2021, I interned at Adobe Research working with Kushal Kafle, Scott Cohen and Tobias Hinz on image editing. In 2022, I interned at Meta AI working with Prof. Adriana Romero-Soriano, Michał Drożdżal and Jakob Verbeek on spherical 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

• [04/2023] Our study on the impact of image compression on recognition models is online.
• [04/2023] New paper online: DiWa uses wavelets to improve diffusion-based SR.
• [02/2023] Our Super-Resolution Survey paper got accepted to TPAMI.
• [10/2022] Our new Super-Resolution Survey paper is online.
• [08/2022] Started research internship at Meta AI in Paris working on 360° image generation.
• [07/2022] Our DT2I paper got accepted to ICANN 2022.

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