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ORCIDStanislav Frolov
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2020 – today
- 2024
[c7]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution. IJCNN 2024: 1-8- [c6]Stanislav Frolov
, Brian B. Moser, Sebastian Palacio, Andreas Dengel:
ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation. ACM Multimedia 2024: 10621-10629 - [i21]Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel:
Diffusion Models, Image Super-Resolution And Everything: A Survey. CoRR abs/2401.00736 (2024) - [i20]Brian B. Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel:
Latent Dataset Distillation with Diffusion Models. CoRR abs/2403.03881 (2024) - [i19]Stanislav Frolov, Brian B. Moser, Sebastian Palacio, Andreas Dengel:
ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation. CoRR abs/2404.07564 (2024) - [i18]Brian B. Moser, Ahmed Anwar, Federico Raue, Stanislav Frolov, Andreas Dengel:
Federated Learning for Blind Image Super-Resolution. CoRR abs/2404.17670 (2024) - [i17]Stanislav Frolov, Brian B. Moser, Andreas Dengel:
SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over Time. CoRR abs/2407.15507 (2024) - [i16]Sanath Budakegowdanadoddi Nagaraju, Brian B. Moser, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Andreas Dengel:
A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShift. CoRR abs/2411.10231 (2024) - [i15]Brian B. Moser, Stanislav Frolov, Tobias Christian Nauen, Federico Raue, Andreas Dengel:
Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution. CoRR abs/2411.12072 (2024) - [i14]Arundhati S. Shanbhag, Brian B. Moser, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Andreas Dengel:
Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning. CoRR abs/2411.12073 (2024) - [i13]Brian B. Moser, Federico Raue, Tobias Christian Nauen, Stanislav Frolov, Andreas Dengel:
Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning. CoRR abs/2411.12115 (2024) - [i12]Ryugo Morita, Stanislav Frolov, Brian B. Moser, Takahiro Shirakawa, Ko Watanabe, Andreas Dengel, Jinjia Zhou:
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model. CoRR abs/2411.15580 (2024) - 2023
- [j2]Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel:
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9862-9882 (2023) - [c5]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
DWA: Differential Wavelet Amplifier for Image Super-Resolution. ICANN (2) 2023: 232-243 - [i11]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution. CoRR abs/2304.01994 (2023) - [i10]João Maria Janeiro, Stanislav Frolov, Alaaeldin El-Nouby, Jakob Verbeek:
Are Visual Recognition Models Robust to Image Compression? CoRR abs/2304.04518 (2023) - [i9]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
DWA: Differential Wavelet Amplifier for Image Super-Resolution. CoRR abs/2307.04593 (2023) - [i8]Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel:
YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution. CoRR abs/2308.07977 (2023) - 2022
- [c4]Stanislav Frolov, Prateek Bansal, Jörn Hees, Andreas Dengel:
DT2I: Dense Text-to-Image Generation from Region Descriptions. ICANN (2) 2022: 395-406 - [i7]Stanislav Frolov, Prateek Bansal, Jörn Hees, Andreas Dengel:
DT2I: Dense Text-to-Image Generation from Region Descriptions. CoRR abs/2204.02035 (2022) - [i6]Brian B. Moser, Federico Raue, Stanislav Frolov, Jörn Hees, Sebastian Palacio, Andreas Dengel:
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. CoRR abs/2209.13131 (2022) - 2021
- [j1]Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel:
Adversarial text-to-image synthesis: A review. Neural Networks 144: 187-209 (2021) - [c3]Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel:
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style. GCPR 2021: 361-375 - [c2]Ricard Durall, Stanislav Frolov, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper:
Combining Transformer Generators with Convolutional Discriminators. KI 2021: 67-79 - [c1]Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel:
Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching. VISIGRAPP (4: VISAPP) 2021: 182-192 - [i5]Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel:
Adversarial Text-to-Image Synthesis: A Review. CoRR abs/2101.09983 (2021) - [i4]Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel:
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style. CoRR abs/2103.13722 (2021) - [i3]Ricard Durall, Stanislav Frolov, Andreas Dengel, Janis Keuper:
Combining Transformer Generators with Convolutional Discriminators. CoRR abs/2105.10189 (2021) - 2020
- [i2]Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel:
Hybrid Sequence to Sequence Model for Video Object Segmentation. CoRR abs/2010.05069 (2020) - [i1]Stanislav Frolov, Shailza Jolly, Jörn Hees, Andreas Dengel:
Leveraging Visual Question Answering to Improve Text-to-Image Synthesis. CoRR abs/2010.14953 (2020)
Coauthor Index
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