2 papers
cs.CV2025
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…
cs.LG2025
Efficient Distillation of Classifier-Free Guidance using Adapters
Cristian Perez Jensen, Seyedmorteza Sadat
While classifier-free guidance (CFG) is essential for conditional diffusion models, it doubles the number of neural function evaluations (NFEs) per inference step. To mitigate this…