5 citations · 6 across the 4 of their papers we have counts for
3 papers · 1 filter
OptIMerge: Optimization-Based Merging of Diffusion Models
Viraj Shah, Ashwini Pokle, Peyman Milanfar +2
The arithmetic merging of weights from multiple task-specific models fine-tuned from a shared base model, commonly known as model souping, has emerged as a popular strategy for mul…
ReGain: Restoring Subject Fidelity in Personalization on Synthetic Images
Shubhang Bhatnagar, Ishan Bhatnagar, Viraj Shah +1
Text-to-image diffusion models are personalized to a subject by DreamBooth fine-tuning on a handful of its images. Increasingly, these images come from a diffusion model rather tha…
ReaDiT Guidance: Control for Image and Video Generation using Diffusion Transformer Features
Jay Mahajan, Chang Liu, Rauf Makharov +3
We present DiT Readout (ReaDiT) Guidance, a lightweight framework for controlling generation with Diffusion Transformer (DiT) models via their internal feature representations. Rea…