US US20260220867A1

GENERATIVE MODEL AND LATENT FRAME APPROXIMATION FOR MEDIA DATA GENERATION

Abstract

A device includes one or more processors coupled to a memory configured to store a generative model associated with a diffusion operation. The one or more processors are configured to generate, based on and input image frame, a time sequence of multiple latent image frames, and perform a first sampling operation of multiple sampling operations. To perform the first sampling operation, the one or more processors are configured to receive a first input version of frames of the multiple latent image frames, and output a first output version of frames of the multiple latent image frames. The first output version of frames includes the first output subset of frames generated based on a diffusion operation performed on a portion of the first input version of frames, and includes the second output subset of frames generated based on the first output subset of frames and the first input version of frames.

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