Qualcomm incorporated (20250124301). EFFICIENT DIFFUSION MACHINE LEARNING MODELS
EFFICIENT DIFFUSION MACHINE LEARNING MODELS
Organization Name
Inventor(s)
Amirhossein Habibian of Amsterdam NL
Risheek Garrepalli of San Diego CA US
Fatih Murat Porikli of San Diego CA US
EFFICIENT DIFFUSION MACHINE LEARNING MODELS
This abstract first appeared for US patent application 20250124301 titled 'EFFICIENT DIFFUSION MACHINE LEARNING MODELS
Original Abstract Submitted
certain aspects of the present disclosure provide techniques and apparatus for improved machine learning. during a first iteration of processing data using a denoising backbone of a diffusion machine learning model, a first latent tensor is generated using a lower resolution block of the denoising backbone, and a first feature tensor is generated based on processing the first latent tensor using a higher resolution block of the denoising backbone, the higher resolution block using a higher resolution than the lower resolution block. a second latent tensor is generated based on processing the first latent tensor using an adapter block of the denoising backbone. during a second iteration of processing the data using the denoising backbone, a second feature tensor is generated based on processing the second latent tensor using the higher resolution block.