CPC G06V 10/757 (2022.01) [G06F 17/18 (2013.01); G06F 18/211 (2023.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06V 10/761 (2022.01); G06V 10/771 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01)] | 20 Claims |
1. A method of generating panoptic labeling for graphical digital images, the method comprising:
generating a modified input image based on an input image and a mask instance;
determining a subset of a set of labels determined from a group of images, each label in the subset representing a respective category of a respective object depicted in the input image;
determining, by a modified panoptic labeling neural network and based on a distance between a mask pixel from the mask instance and an object pixel from the modified input image, a probability of the mask pixel having a label from the subset, the object pixel having the label from the subset;
generating, by the modified panoptic labeling neural network, a mask label for the mask pixel based on the probability; and
providing the mask label to a digital graphics editing system.
|