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2020 – today
- 2024
[c6]Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley, Otmar Hilliges, Romann M. Weber:
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling. ICLR 2024- [i10]Seyedmorteza Sadat
, Jakob Buhmann, Derek Bradley, Otmar Hilliges, Romann M. Weber:
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models. CoRR abs/2405.14477 (2024) - [i9]Seyedmorteza Sadat, Manuel Kansy, Otmar Hilliges, Romann M. Weber:
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models. CoRR abs/2407.02687 (2024) - [i8]Manuel Kansy, Jacek Naruniec, Christopher Schroers, Markus Gross, Romann M. Weber:
Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion. CoRR abs/2408.00458 (2024) - [i7]Seyedmorteza Sadat, Otmar Hilliges, Romann M. Weber:
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models. CoRR abs/2410.02416 (2024) - 2023
- [j4]Romann M. Weber:
The Score-Difference Flow for Implicit Generative Modeling. Trans. Mach. Learn. Res. 2023 (2023) - [c5]Manuel Kansy, Anton Raël, Graziana Mignone, Jacek Naruniec, Christopher Schroers, Markus Gross, Romann M. Weber:
Controllable Inversion of Black-Box Face Recognition Models via Diffusion. ICCV (Workshops) 2023: 3159-3169 - [c4]Fabian Landwehr, Erika Varis Doggett, Romann M. Weber:
Memories for Virtual AI Characters. INLG 2023: 237-252 - [c3]Manuel Kansy, Julian Balletshofer, Jacek Naruniec, Christopher Schroers, Graziana Mignone, Markus Gross, Romann M. Weber:
Self-Supervised Effective Resolution Estimation with Adversarial Augmentations. WACV (Workshops) 2023: 573-582 - [i6]Manuel Kansy, Anton Raël, Graziana Mignone, Jacek Naruniec, Christopher Schroers, Markus Gross, Romann M. Weber:
Controllable Inversion of Black-Box Face-Recognition Models via Diffusion. CoRR abs/2303.13006 (2023) - [i5]Romann M. Weber:
The Score-Difference Flow for Implicit Generative Modeling. CoRR abs/2304.12906 (2023) - [i4]Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley, Otmar Hilliges, Romann M. Weber:
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling. CoRR abs/2310.17347 (2023) - 2022
- [j3]Christopher Otto, Jacek Naruniec, Leonhard Helminger, Thomas Etterlin, Graziana Mignone, Prashanth Chandran, Gaspard Zoss, Christopher Schroers, Markus Gross, Paulo F. U. Gotardo, Derek Bradley, Romann M. Weber:
Learning Dynamic 3D Geometry and Texture for Video Face Swapping. Comput. Graph. Forum 41(7): 611-622 (2022) - [j2]Farnood Salehi, Marco Manzi, Gerhard Roethlin, Romann M. Weber, Christopher Schroers, Marios Papas:
Deep Adaptive Sampling and Reconstruction Using Analytic Distributions. ACM Trans. Graph. 41(6): 259:1-259:16 (2022) - 2021
- [i3]Romann M. Weber:
The Hidden Tasks of Generative Adversarial Networks: An Alternative Perspective on GAN Training. CoRR abs/2101.11863 (2021) - 2020
- [j1]Jacek Naruniec, Leonhard Helminger, Christopher Schroers, Romann M. Weber:
High-Resolution Neural Face Swapping for Visual Effects. Comput. Graph. Forum 39(4): 173-184 (2020)
2010 – 2019
- 2018
- [c2]Vincent Fortuin, Romann M. Weber, Sasha Schriber, Diana Wotruba, Markus H. Gross:
InspireMe: Learning Sequence Models for Stories. AAAI 2018: 7747-7752 - [c1]Suman Saha, Rajitha Navarathna, Leonhard Helminger, Romann M. Weber:
Unsupervised Deep Representations for Learning Audience Facial Behaviors. CVPR Workshops 2018: 1132-1137 - [i2]Suman Saha, Rajitha Navarathna, Leonhard Helminger, Romann M. Weber:
Unsupervised Deep Representations for Learning Audience Facial Behaviors. CoRR abs/1805.04136 (2018) - [i1]Leonhard Helminger, Abdelaziz Djelouah, Markus H. Gross, Romann M. Weber:
Disentangled Dynamic Representations from Unordered Data. CoRR abs/1812.03962 (2018) - 2013
- [b1]Romann M. Weber:
Discovering optical control strategies : a data-mining approach. Rensselaer Polytechnic Institute, USA, 2013
Coauthor Index
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