Romann M. Weber

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Diffusion Models

Adaptive Sampling

Top Venues

Comput. Graph. Forum

ACM Trans. Graph.

Publications

Seyedmorteza Sadat, Manuel Kansy, Otmar Hilliges, Romann M. Weber
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models. CoRR (2024)
Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley, Otmar Hilliges, Romann M. Weber
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models. CoRR (2024)
Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley, Otmar Hilliges, Romann M. Weber
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling. ICLR (2024)
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 (2023)
Romann M. Weber
The Score-Difference Flow for Implicit Generative Modeling. Trans. Mach. Learn. Res. 2023 (2023)
Fabian Landwehr, Erika Varis Doggett, Romann M. Weber
Memories for Virtual AI Characters. INLG (2023)
Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley, Otmar Hilliges, Romann M. Weber
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling. CoRR (2023)
Manuel Kansy, Anton Raël, Graziana Mignone, Jacek Naruniec, Christopher Schroers, Markus H. Gross, Romann M. Weber
Controllable Inversion of Black-Box Face Recognition Models via Diffusion. ICCV (Workshops) (2023)
Romann M. Weber
The Score-Difference Flow for Implicit Generative Modeling. CoRR (2023)
Manuel Kansy, Julian Balletshofer, Jacek Naruniec, Christopher Schroers, Graziana Mignone, Markus H. Gross, Romann M. Weber
Self-Supervised Effective Resolution Estimation with Adversarial Augmentations. WACV (Workshops) (2023)
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) (2022)
Christopher Otto, Jacek Naruniec, Leonhard Helminger, Thomas Etterlin, Graziana Mignone, Prashanth Chandran, Gaspard Zoss, Christopher Schroers, Markus H. 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) (2022)
Romann M. Weber
The Hidden Tasks of Generative Adversarial Networks: An Alternative Perspective on GAN Training. CoRR (2021)
Jacek Naruniec, Leonhard Helminger, Christopher Schroers, Romann M. Weber
High-Resolution Neural Face Swapping for Visual Effects. Comput. Graph. Forum 39 (4) (2020)
Leonhard Helminger, Abdelaziz Djelouah, Markus H. Gross, Romann M. Weber
Disentangled Dynamic Representations from Unordered Data. CoRR (2018)
Vincent Fortuin, Romann M. Weber, Sasha Schriber, Diana Wotruba, Markus H. Gross
InspireMe: Learning Sequence Models for Stories. AAAI (2018)
Suman Saha, Rajitha Navarathna, Leonhard Helminger, Romann M. Weber
Unsupervised Deep Representations for Learning Audience Facial Behaviors. CoRR (2018)
Suman Saha, Rajitha Navarathna, Leonhard Helminger, Romann M. Weber
Unsupervised Deep Representations for Learning Audience Facial Behaviors. CVPR Workshops (2018)