3 citations · 5 across the 3 of their papers we have counts for
3 papers
Exploring Magnitude Preservation and Rotation Modulation in Diffusion Transformers
Eric Tillman Bill, Cristian Perez Jensen, Sotiris Anagnostidis +1
Denoising diffusion models exhibit remarkable generative capabilities, but remain challenging to train due to their inherent stochasticity, where high-variance gradient estimates l…
A Language Model's Guide Through Latent Space
Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann +1
Concept guidance has emerged as a cheap and simple way to control the behavior of language models by probing their hidden representations for concept vectors and using them to pert…
FABRIC: Personalizing Diffusion Models with Iterative Feedback
Dimitri von Rütte, Elisabetta Fedele, Jonathan Thomm +1
In an era where visual content generation is increasingly driven by machine learning, the integration of human feedback into generative models presents significant opportunities fo…