公开(公告)号：US20240378912A1

公开(公告)日：2024-11-14

申请号：US18316617

申请日：2023-05-12

Applicant: Adobe Inc.

Inventor： Mausoom Sarkar ,  Nikitha S R ,  Mayur Hemani ,  Rishabh Jain ,  Balaji Krishnamurthy

IPC: G06V20/70 ,  G06T3/40 ,  G06T7/11 ,  G06V10/46 ,  G06V10/764 ,  G06V10/77 ,  G06V10/774 ,  G06V10/82 ,  G06V40/16

Abstract: This disclosure describes one or more implementations of systems, non-transitory computer-readable media, and methods that utilize a local implicit image function neural network to perform image segmentation with a continuous class label probability distribution. For example, the disclosed systems utilize a local-implicit-image-function (LIIF) network to learn a mapping from an image to its semantic label space. In some instances, the disclosed systems utilize an image encoder to generate an image vector representation from an image. Subsequently, in one or more implementations, the disclosed systems utilize the image vector representation with a LIIF network decoder that generates a continuous probability distribution in a label space for the image to create a semantic segmentation mask for the image. Moreover, in some embodiments, the disclosed systems utilize the LIIF-based segmentation network to generate segmentation masks at different resolutions without changes in an input resolution of the segmentation network.