Überbrückung der Lücke zwischen Diffusionsmodellen und Gleichmässiger Quantisierung zur Bildkompression

Details

Veröffentlichungs-Nr.

EP4718371

Anmeldetag

1. Juli 2025

Veröffentlichung

1. April 2026

Rechtsraum

EP

IPC

G06T5/60, G06T5/70

Abstract

In some embodiments, a method receives an image and encodes the image into a latent representation in a latent space. A quantization process is performed on the latent representation to generate a quantized latent representation. The quantization process is based on a uniform noise. The method transmits the quantized latent representation to a receiver. An inverse quantization process is performed to generate a reconstructed latent representation via a diffusion model that performs a denoising process for a number of iterations based on a time step t to remove noise from the reconstructed latent representation. The diffusion model is trained to perform denoising using the uniform noise.

Anmelder

Firmen

Disney Enterprises, Inc.
ETH Zürich (Eidgenössische Technische Hochschule Zürich)

Land

🇺🇸 USA