Romann M. Weber

According to our database, Romann M. Weber authored at least 20 papers between 2013 and 2025.

Collaborative distances:

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

2025

HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models.

Seyedmorteza Sadat, Farnood Salehi, Romann M. Weber

CoRR, September, 2025

Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales.

Seyedmorteza Sadat, Tobias Vontobel, Farnood Salehi, Romann M. Weber

CoRR, June, 2025

HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Sampling.

Tobias Vontobel, Seyedmorteza Sadat, Farnood Salehi, Romann M. Weber

Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion.

Manuel Kansy, Jacek Naruniec, Christopher Schroers, Markus Gross, Romann M. Weber

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models.

Seyedmorteza Sadat, Manuel Kansy, Otmar Hilliges, Romann M. Weber

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models.

Seyedmorteza Sadat, Otmar Hilliges, Romann M. Weber

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models.

Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley, Otmar Hilliges, Romann M. Weber

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling.

Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley, Otmar Hilliges, Romann M. Weber

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

The Score-Difference Flow for Implicit Generative Modeling.

Romann M. Weber

Trans. Mach. Learn. Res., 2023

Self-Supervised Effective Resolution Estimation with Adversarial Augmentations.

Manuel Kansy, Julian Balletshofer, Jacek Naruniec, Christopher Schroers, Graziana Mignone, Markus Gross, Romann M. Weber

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Memories for Virtual AI Characters.

Fabian Landwehr, Erika Varis Doggett, Romann M. Weber

Proceedings of the 16th International Natural Language Generation Conference, 2023

Controllable Inversion of Black-Box Face Recognition Models via Diffusion.

Manuel Kansy, Anton Raël, Graziana Mignone, Jacek Naruniec, Christopher Schroers, Markus Gross, Romann M. Weber

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning Dynamic 3D Geometry and Texture for Video Face Swapping.

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

Comput. Graph. Forum, October, 2022

Deep Adaptive Sampling and Reconstruction Using Analytic Distributions.

Farnood Salehi, Marco Manzi, Gerhard Roethlin, Romann M. Weber, Christopher Schroers, Marios Papas

ACM Trans. Graph., 2022

2021

The Hidden Tasks of Generative Adversarial Networks: An Alternative Perspective on GAN Training.

Romann M. Weber

CoRR, 2021

2020

High-Resolution Neural Face Swapping for Visual Effects.

Jacek Naruniec, Leonhard Helminger, Christopher Schroers, Romann M. Weber

Comput. Graph. Forum, 2020

2018

Disentangled Dynamic Representations from Unordered Data.

Leonhard Helminger, Abdelaziz Djelouah, Markus H. Gross, Romann M. Weber

CoRR, 2018

Unsupervised Deep Representations for Learning Audience Facial Behaviors.

Suman Saha, Rajitha Navarathna, Leonhard Helminger, Romann M. Weber

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

InspireMe: Learning Sequence Models for Stories.

Vincent Fortuin, Romann M. Weber, Sasha Schriber, Diana Wotruba, Markus H. Gross

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2013

Discovering optical control strategies : a data-mining approach.

Romann M. Weber

PhD thesis, 2013