Implementation of restoration models
Analog hardware with noise scaling techniques addresses the computational and energy inefficiencies of digital diffusion models, enabling faster and more efficient image and audio processing.
WO2026015204A1 Publication Date: 2026-01-15MICROSOFT TECHNOLOGY LICENSING LLC
3 Cites 0 Cited by
Patent Information
- Application Number
- PCT/US2025/030086
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-10-31
- Filing Date
- 2025-05-20
- Publication Date
- 2026-01-15
AI Technical Summary
Technical Problem
Implementing diffusion models on digital hardware is computationally and energetically intensive due to the high demand for time and resources, particularly in tasks like image and audio generation, as they require numerous iterations and complex digital operations.
Method used
Adopting analog hardware for diffusion models, utilizing noise scaling techniques with constant noise vectors and feedback loops to improve performance and convergence, reducing computational and energy demands.
Benefits of technology
Analog implementations significantly enhance computational efficiency and reduce energy consumption while maintaining output quality, achieving faster and more efficient image and audio processing.
✦ Generated by Eureka AI based on patent content.
Abstract
A diffusion model is implemented in the analog processing domain. Analog restoration model circuitry is configured to denoise an analog signal (referred to as 'signal restoration' processing). Analog noise injection circuitry coupled to the analog restoration model circuitry receives the denoised signal and injects an amount of noise back into it. The resulting noise-injected signal is fed back to the analog restoration model circuitry for further signal restoration processing, and the resulting signal is again passed to the noise injection circuitry for noise injection. Various mechanisms for implementing the noise injection stage in the analog domain are described. In a first example embodiment, a constant noise signal is applied with a variable scaling factor. In a second example embodiment, a variable noise signal is generated using analog noise generation circuitry.
Need to check novelty before this filing date? Find Prior Art