Showing 2024Show all
3 papers · 1 filter
cs.LG2024
HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories
Eric Hedlin, Munawar Hayat, Fatih Porikli +2
To efficiently adapt large models or to train generative models of neural representations, Hypernetworks have drawn interest. While hypernetworks work well, training them is cumber…
cs.LG2024
DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning
Risheek Garrepalli, Shweta Mahajan, Munawar Hayat +1
Diffusion models excel at generative modeling (e.g., text-to-image) but sampling requires multiple denoising network passes, limiting practicality. Efforts such as progressive dist…
cs.CV2024
FouRA: Fourier Low Rank Adaptation
Shubhankar Borse, Shreya Kadambi, Nilesh Prasad Pandey +7
While Low-Rank Adaptation (LoRA) has proven beneficial for efficiently fine-tuning large models, LoRA fine-tuned text-to-image diffusion models lack diversity in the generated imag…