Scholar
Seyedmorteza Sadat
Google Scholar ID: VRE-ouwAAAAJ
PhD student, ETH Zürich
diffusion models
generative modeling
computer vision
deep learning
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Citations & Impact
All-time
Citations
134
H-index
5
i10-index
4
Publications
12
Co-authors
4
list available
Publications
9 items
HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models
2025
Cited
0
HiWave: Training-Free High-Resolution Image Generation via Wavelet-Based Diffusion Sampling
2025
Cited
0
Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales
2025
Cited
0
Token Perturbation Guidance for Diffusion Models
2025
Cited
0
Efficient Distillation of Classifier-Free Guidance using Adapters
2025
Cited
0
Regressor-Guided Image Editing Regulates Emotional Response to Reduce Online Engagement
2025
Cited
0
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models
International Conference on Learning Representations · 2024
Cited
9
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models
International Conference on Learning Representations · 2024
Cited
12
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Co-authors
4 total
Romann M. Weber
Disney Research
Otmar Hilliges
Professor of Computer Science, ETH Zurich
Jakob Buhmann
Researcher, Disney Research
Derek Bradley
DisneyResearch|Studios
