Stanislav Frolov

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

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• [04/2024] New paper: ObjBlur uses progressive object-level blurring to improve L2I models.
• [03/2024] New paper: LD3M proposes latent dataset distillation with diffusion models.
• [01/2024] New Survey on Diffusion Models for Super-Resolution is online.
• [08/2023] New paper: YODA uses dynamic attention-guided diffusion for SR.
• [07/2023] New paper: Differential Wavelet Amplifier got accepted to ICANN 2023.
• [06/2023] Our impact of image compression study got accepted at the ICML workshop on neural compression.
• [04/2023] New paper: DiWa uses wavelets to improve diffusion-based SR.
• [02/2023] Our Super-Resolution Survey paper got accepted to TPAMI.
• [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.

• Conference: CVPR'23-'24, ICLR'23, NeurIPS'23, ECCV '24, WACV'21-'23, ICANN'22-'23, GCAI'21, GCPR'21, DAS'20
• Workshop: LANTERN'21
• Journal: APIN'21