publications

You can find a list of my publications below. Please refer to my google scholar for the most up-to-date version.

2026

  1. ICLR 2026
    HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models
    Seyedmorteza Sadat, Farnood Salehi, and Romann M. Weber
    In The Fourteenth International Conference on Learning Representations, 2026

2025

  1. arXiv
    Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales
    Seyedmorteza Sadat, Tobias Vontobel, Farnood Salehi, and Romann M. Weber
    2025
  2. TMLR
    Efficient Distillation of Classifier-Free Guidance using Adapters
    Cristian Perez Jensen and Seyedmorteza Sadat
    Transactions on Machine Learning Research, 2025
  3. NeurIPS 2025
    Token Perturbation Guidance for Diffusion Models
    Javad Rajabi, Soroush Mehraban, Seyedmorteza Sadat, and Babak Taati
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
  4. SIGGRAPH Asia 2025
    HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Sampling
    Tobias Vontobel, Seyedmorteza Sadat, Farnood Salehi, and Romann M. Weber
    2025
  5. ICLR 2025
    Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models
    Seyedmorteza Sadat, Otmar Hilliges, and Romann M. Weber
    In The Thirteenth International Conference on Learning Representations, 2025
  6. ICLR 2025
    No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models
    Seyedmorteza Sadat, Manuel Kansy, Otmar Hilliges, and Romann M. Weber
    In The Thirteenth International Conference on Learning Representations, 2025
  7. arXiv
    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, and Christian Holz
    2025

2024

  1. MIG 2024
    Factorized Motion Diffusion for Precise and Character-Agnostic Motion Inbetweening
    Justin Studer, Dhruv Agrawal, Dominik Borer, Seyedmorteza Sadat, Robert W. Sumner, Martin Guay, and Jakob Buhmann
    In Proceedings of the 17th ACM SIGGRAPH Conference on Motion, Interaction, and Games, 2024
  2. NeurIPS 2024
    LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
    Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley, Otmar Hilliges, and Romann M. Weber
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
  3. ICLR 2024
    CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling
    Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley, Otmar Hilliges, and Romann M. Weber
    In The Twelfth International Conference on Learning Representations, 2024