Seyedmorteza Sadat

According to our database, Seyedmorteza Sadat authored at least 10 papers between 2024 and 2025.

Collaborative distances:

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

2025

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

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

CoRR, June, 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

Token Perturbation Guidance for Diffusion Models.

Javad Rajabi, Soroush Mehraban, Seyedmorteza Sadat, Babak Taati

CoRR, June, 2025

Efficient Distillation of Classifier-Free Guidance using Adapters.

Cristian Perez Jensen, Seyedmorteza Sadat

CoRR, March, 2025

Regressor-Guided Image Editing Regulates Emotional Response to Reduce Online Engagement.

Christoph Gebhardt, Robin Willardt, Seyedmorteza Sadat, Chih-Wei Ning, Andreas Brombach, Jie Song, Otmar Hilliges, Christian Holz

CoRR, January, 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 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Factorized Motion Diffusion for Precise and Character-Agnostic Motion Inbetweening.

Justin Studer, Dhruv Agrawal, Dominik Borer, Seyedmorteza Sadat, Robert W. Sumner, Martin Guay, Jakob Buhmann

Proceedings of the 17th ACM SIGGRAPH Conference on Motion, Interaction, and Games, 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