Sadat, Seyedmorteza

7 publications

ICLR 2026 HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models Seyedmorteza Sadat, Farnood Salehi, Romann M. Weber

TMLR 2025 Efficient Distillation of Classifier-Free Guidance Using Adapters Cristian Perez Jensen, Seyedmorteza Sadat

ICLR 2025 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

NeurIPS 2025 Token Perturbation Guidance for Diffusion Models Javad Rajabi, Soroush Mehraban, Seyedmorteza Sadat, Babak Taati

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

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