Stanislav Frolov

51 papers A* 2A 3B 2Misc 1Journal 39Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
LGTM: Training-Free Light-Guided Text-to-Image Diffusion Model via Initial Noise Manipulation.
CoRR
Ryugo Morita, Stanislav Frolov, Brian Bernhard Moser, Ko Watanabe, Riku Takahashi, Andreas Dengel
2026 J jnl
PRISM: Diversifying Dataset Distillation by Decoupling Architectural Priors.
Trans. Mach. Learn. Res.
Brian Bernhard Moser, Shalini Sarode, Federico Raue, Stanislav Frolov, Krzysztof Adamkiewicz, Arundhati S. Shanbhag, Joachim Folz, Tobias Christian Nauen, Andreas Dengel
2026 J jnl
Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI.
Trans. Mach. Learn. Res.
David Dembinsky, Adriano Lucieri, Stanislav Frolov, Hiba Najjar, Ko Watanabe, Andreas Dengel
2026 J jnl
When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators.
CoRR
Krzysztof Adamkiewicz, Brian B. Moser, Stanislav Frolov, Tobias Christian Nauen, Federico Raue, Andreas Dengel
2025 J jnl
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances.
CoRR
Brian B. Moser, Arundhati S. Shanbhag, Stanislav Frolov, Federico Raue, Joachim Folz, Andreas Dengel
2025 J jnl
A Study in Dataset Distillation for Image Super-Resolution.
CoRR
Tobias Dietz, Brian B. Moser, Tobias Christian Nauen, Federico Raue, Stanislav Frolov, Andreas Dengel
2025 J jnl
Diffusion Models, Image Super-Resolution, and Everything: A Survey.
IEEE Trans. Neural Networks Learn. Syst.
Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel
2025 B conf
Distill the Best, Ignore the Rest: A Study in Latent Dataset Distillation on Core-Sets.
IJCNN
Brian B. Moser, Federico Raue, Tobias Christian Nauen, Stanislav Frolov, Andreas Dengel
2025 A conf
Dynamic Attention-Guided Diffusion for Image Super-Resolution.
WACV
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2025 J jnl
ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation.
CoRR
Tobias Christian Nauen, Brian B. Moser, Federico Raue, Stanislav Frolov, Andreas Dengel
2025 J jnl
HyperCore: Coreset Selection under Noise via Hypersphere Models.
CoRR
Brian B. Moser, Arundhati S. Shanbhag, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Joachim Folz, Andreas Dengel
2025 J jnl
Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution.
CoRR
Ashitha Mudraje, Brian B. Moser, Stanislav Frolov, Andreas Dengel
2025 J jnl
PRISM: Diversifying Dataset Distillation by Decoupling Architectural Priors.
CoRR
Brian B. Moser, Shalini Sarode, Federico Raue, Stanislav Frolov, Krzysztof Adamkiewicz, Arundhati S. Shanbhag, Joachim Folz, Tobias Christian Nauen, Andreas Dengel
2025 A conf
PromptMap: An Alternative Interaction Style for AI-Based Image Generation.
IUI
Krzysztof Adamkiewicz, Pawel W. Wozniak, Julia Dominiak, Andrzej Romanowski, Jakob Karolus, Stanislav Frolov
2025 J jnl
PromptMap: An Alternative Interaction Style for AI-Based Image Generation.
CoRR
Krzysztof Adamkiewicz, Pawel W. Wozniak, Julia Dominiak, Andrzej Romanowski, Jakob Karolus, Stanislav Frolov
2025 J jnl
Spherical Dense Text-to-Image Synthesis.
CoRR
Timon Winter, Stanislav Frolov, Brian B. Moser, Andreas Dengel
2025 A conf
SpotDiffusion: A Fast Approach for Seamless Panorama Generation Over Time.
WACV
Stanislav Frolov, Brian B. Moser, Andreas Dengel
2025 J jnl
SubZeroCore: A Submodular Approach with Zero Training for Coreset Selection.
CoRR
Brian B. Moser, Tobias Christian Nauen, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Joachim Folz, Andreas Dengel
2025 A* conf
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model.
CVPR
Ryugo Morita, Stanislav Frolov, Brian Bernhard Moser, Takahiro Shirakawa, Ko Watanabe, Andreas Dengel, Jinjia Zhou
2025 J jnl
Towards Facilitated Fairness Assessment of AI-based Skin Lesion Classifiers Through GenAI-based Image Synthesis.
CoRR
Ko Watanabe, Stanislav Frolov, Adriano Lucieri, Andreas Dengel
2025 J jnl
Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI.
CoRR
David Dembinsky, Adriano Lucieri, Stanislav Frolov, Hiba Najjar, Ko Watanabe, Andreas Dengel
2024 J jnl
A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShift.
CoRR
Sanath Budakegowdanadoddi Nagaraju, Brian B. Moser, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Andreas Dengel
2024 J jnl
Diffusion Models, Image Super-Resolution And Everything: A Survey.
CoRR
Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel
2024 J jnl
Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning.
CoRR
Brian B. Moser, Federico Raue, Tobias Christian Nauen, Stanislav Frolov, Andreas Dengel
2024 J jnl
Federated Learning for Blind Image Super-Resolution.
CoRR
Brian B. Moser, Ahmed Anwar, Federico Raue, Stanislav Frolov, Andreas Dengel
2024 J jnl
Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning.
CoRR
Arundhati S. Shanbhag, Brian B. Moser, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Andreas Dengel
2024 J jnl
Latent Dataset Distillation with Diffusion Models.
CoRR
Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel
2024 A* conf
ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation.
ACM Multimedia
Stanislav Frolov, Brian B. Moser, Sebastian Palacio, Andreas Dengel
2024 J jnl
ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation.
CoRR
Stanislav Frolov, Brian B. Moser, Sebastian Palacio, Andreas Dengel
2024 J jnl
SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over Time.
CoRR
Stanislav Frolov, Brian B. Moser, Andreas Dengel
2024 J jnl
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model.
CoRR
Ryugo Morita, Stanislav Frolov, Brian B. Moser, Takahiro Shirakawa, Ko Watanabe, Andreas Dengel, Jinjia Zhou
2024 B conf
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution.
IJCNN
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2024 J jnl
Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution.
CoRR
Brian B. Moser, Stanislav Frolov, Tobias Christian Nauen, Federico Raue, Andreas Dengel
2023 J jnl
Are Visual Recognition Models Robust to Image Compression?
CoRR
João Maria Janeiro, Stanislav Frolov, Alaaeldin El-Nouby, Jakob Verbeek
2023 — conf
DWA: Differential Wavelet Amplifier for Image Super-Resolution.
ICANN (2)
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2023 J jnl
DWA: Differential Wavelet Amplifier for Image Super-Resolution.
CoRR
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2023 J jnl
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances.
IEEE Trans. Pattern Anal. Mach. Intell.
Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel
2023 J jnl
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution.
CoRR
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2023 J jnl
YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution.
CoRR
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2022 — conf
DT2I: Dense Text-to-Image Generation from Region Descriptions.
ICANN (2)
Stanislav Frolov, Prateek Bansal, Jörn Hees, Andreas Dengel
2022 J jnl
DT2I: Dense Text-to-Image Generation from Region Descriptions.
CoRR
Stanislav Frolov, Prateek Bansal, Jörn Hees, Andreas Dengel
2022 J jnl
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances.
CoRR
Brian B. Moser, Federico Raue, Stanislav Frolov, Jörn Hees, Sebastian Palacio, Andreas Dengel
2021 J jnl
Adversarial Text-to-Image Synthesis: A Review.
CoRR
Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel
2021 J jnl
Adversarial text-to-image synthesis: A review.
Neural Networks
Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel
2021 — conf
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style.
GCPR
Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel
2021 J jnl
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style.
CoRR
Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel
2021 Misc conf
Combining Transformer Generators with Convolutional Discriminators.
KI
Ricard Durall, Stanislav Frolov, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper
2021 J jnl
Combining Transformer Generators with Convolutional Discriminators.
CoRR
Ricard Durall, Stanislav Frolov, Andreas Dengel, Janis Keuper
2021 — conf
Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching.
VISIGRAPP (4: VISAPP)
Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel
2020 J jnl
Hybrid Sequence to Sequence Model for Video Object Segmentation.
CoRR
Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel
2020 J jnl
Leveraging Visual Question Answering to Improve Text-to-Image Synthesis.
CoRR
Stanislav Frolov, Shailza Jolly, Jörn Hees, Andreas Dengel