133 citations · 463 across the 108 of their papers we have counts for
5 papers · 1 filter
Steering Away from Memorization: Reachability-Constrained Reinforcement Learning for Text-to-Image Diffusion
Sathwik Karnik, Juyeop Kim, Sanmi Koyejo +2
Text-to-image diffusion models often memorize training data, revealing a fundamental failure to generalize beyond the training set. Current mitigation strategies typically sacrific…
HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance
Junzhe Zhu, Peiye Zhuang, Sanmi Koyejo
The advancements in automatic text-to-3D generation have been remarkable. Most existing methods use pre-trained text-to-image diffusion models to optimize 3D representations like N…
Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging
Peiye Zhuang, Bliss Chapman, Ran Li +1
In the experimental sciences, statistical power analyses are often used before data collection to determine the required sample size. However, traditional power analyses can be cos…
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing
Controllable semantic image editing enables a user to change entire image attributes with a few clicks, e.g., gradually making a summer scene look like it was taken in winter. Clas…
FMRI data augmentation via synthesis
Peiye Zhuang, Alexander G. Schwing, Sanmi Koyejo
We present an empirical evaluation of fMRI data augmentation via synthesis. For synthesis we use generative mod-els trained on real neuroimaging data to produce novel task-dependen…