Synthesizing a modified digital image utilizing a reposing model

A system comprising:

• one or more memory devices comprising a source digital image that depicts a human, a texture map of the source digital image, a target pose map of the human, and a reposing neural network;
• and
• one or more processors configured to cause the system to:
• generate, utilizing a texture map appearance encoder of the reposing neural network, a global texture map appearance vector from the texture map;
• generate, utilizing an image appearance encoder of the reposing neural network, a local appearance vector from the source digital image;
• generate, utilizing a parameter neural network, local appearance feature tensor from the local appearance vector;
• and
• synthesize, utilizing the reposing neural network, a modified digital image that depicts the human according to the target pose map based on the source digital image, the local appearance feature tensor, and the global texture map appearance vector.

A non-transitory computer-readable medium storing executable instructions which, when executed by a processing device, cause the processing device to perform operations comprising:

• generating, utilizing a texture map appearance encoder of a reposing neural network, a global texture map appearance vector from a texture map;
• generating, utilizing an image appearance encoder of the reposing neural network, a local appearance vector from a source digital image that depicts a human;
• generating, a combined vector from the global texture map appearance vector and the local appearance vector;
• and
• synthesizing, utilizing a reposing generative adversarial neural network, a modified digital image that depicts the human according to a target pose map based on the combined vector.