US 12,456,331 B2
Guided CoModGaN optimization
Zohreh Azizi, Los Angeles, CA (US); Surabhi Sinha, San Jose, CA (US); and Siavash Khodadadeh, Mountain View, CA (US)
Assigned to ADOBE INC., San Jose, CA (US)
Filed by ADOBE INC., San Jose, CA (US)
Filed on Nov. 8, 2022, as Appl. No. 18/053,641.
Prior Publication US 2024/0152757 A1, May 9, 2024
Int. Cl. G06V 40/16 (2022.01); G06T 5/77 (2024.01)
CPC G06V 40/172 (2022.01) [G06T 5/77 (2024.01)] 16 Claims
OG exemplary drawing
 
1. A method for image generation comprising:
identifying, by a machine learning model, an image generation network that includes an encoder and a decoder;
pruning channels of a first layer of a block of the encoder;
pruning channels of a second layer of the block of the encoder based on the pruned channels of the first layer of the block of the encoder;
pruning channels of a block of the decoder that is connected to the block of the encoder by a skip connection, wherein the channels of the block of the decoder are pruned based on the pruned channels of the block of the encoder;
wherein pruning channels of the block of the decoder comprises:
pruning channels of a first layer of the block of the decoder based on the pruned channels of the first layer of the block of the encoder; and
pruning channels of a second layer of the block of the decoder based on the pruned channels of the second layer of the block of the encoder; and
generating an image using the image generation network based on the pruned channels of the block of the encoder and the pruned channels of the block of the decoder.