Stanislav Frolov

According to our database, Stanislav Frolov authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over Time.

Stanislav Frolov, Brian B. Moser, Andreas Dengel

CoRR, 2024

Federated Learning for Blind Image Super-Resolution.

Brian B. Moser, Ahmed Anwar, Federico Raue, Stanislav Frolov, Andreas Dengel

CoRR, 2024

Latent Dataset Distillation with Diffusion Models.

Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel

CoRR, 2024

Diffusion Models, Image Super-Resolution And Everything: A Survey.

Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel

CoRR, 2024

ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation.

Stanislav Frolov, Brian B. Moser, Sebastian Palacio, Andreas Dengel

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution.

Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances.

Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution.

Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel

CoRR, 2023

Are Visual Recognition Models Robust to Image Compression?

João Maria Janeiro, Stanislav Frolov, Alaaeldin El-Nouby, Jakob Verbeek

CoRR, 2023

DWA: Differential Wavelet Amplifier for Image Super-Resolution.

Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

DT2I: Dense Text-to-Image Generation from Region Descriptions.

Stanislav Frolov, Prateek Bansal, Jörn Hees, Andreas Dengel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Adversarial text-to-image synthesis: A review.

Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel

Neural Networks, 2021

Combining Transformer Generators with Convolutional Discriminators.

Ricard Durall, Stanislav Frolov, Andreas Dengel, Janis Keuper

CoRR, 2021

Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching.

Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Combining Transformer Generators with Convolutional Discriminators.

Ricard Durall, Stanislav Frolov, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style.

Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020

Leveraging Visual Question Answering to Improve Text-to-Image Synthesis.

Stanislav Frolov, Shailza Jolly, Jörn Hees, Andreas Dengel

CoRR, 2020

Hybrid Sequence to Sequence Model for Video Object Segmentation.

Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel

CoRR, 2020