CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling. - Seyedmorteza Sadat; Jakob Buhmann; Derek Bradley; Otmar Hilliges; Romann M. Weber (ICLR, 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 (MIG, 2024)

LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models. - Seyedmorteza Sadat; Jakob Buhmann; Derek Bradley; Otmar Hilliges; Romann M. Weber (NeurIPS, 2024)

Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models. - Seyedmorteza Sadat; Otmar Hilliges; Romann M. Weber (ICLR, 2025)

No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models. - Seyedmorteza Sadat; Manuel Kansy; Otmar Hilliges; Romann M. Weber (ICLR, 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 006; Otmar Hilliges; Christian Holz 001 (CoRR, 2025)

Efficient Distillation of Classifier-Free Guidance using Adapters. - Cristian Perez Jensen; Seyedmorteza Sadat (CoRR, 2025)

Token Perturbation Guidance for Diffusion Models. - Javad Rajabi; Soroush Mehraban; Seyedmorteza Sadat; Babak Taati (CoRR, 2025)

Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales. - Seyedmorteza Sadat; Tobias Vontobel; Farnood Salehi; Romann M. Weber (CoRR, 2025)

HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Sampling. - Tobias Vontobel; Seyedmorteza Sadat; Farnood Salehi; Romann M. Weber (CoRR, 2025)