Virtual production

A non-transitory computer-readable medium comprising instructions that, when executed by a hardware processor of a device, cause the device to perform operations comprising:

• receiving a first two-dimensional image depicting a rendered three-dimensional figure, the rendered three-dimensional figure being in a pose and dressed in a select apparel item;
• using a set of skin machine-learning models to generate a second two-dimensional image based on a first input that comprises the first two-dimensional image, the set of skin machine-learning models being configured to up-sample skin of the rendered three-dimensional figure in the first two-dimensional image to generate photorealistic skin in the second two-dimensional image;
• and
• using a set of upper-body machine-learning models to generate a third two-dimensional image based on a second input that comprises the second two-dimensional image, the set of upper-body machine-learning models being configured to up-sample an upper portion of the rendered three-dimensional figure in the second two-dimensional image to generate a photorealistic upper portion in the third two-dimensional image.

A method comprising:

• receiving, by one or more hardware processors, a first two-dimensional image depicting a rendered three-dimensional figure, the rendered three-dimensional figure being in a pose and dressed in a select apparel item;
• using, by the one or more hardware processors, a set of skin machine-learning models to generate a second two-dimensional image based on a first input that comprises the first two-dimensional image, the set of skin machine-learning models being configured to up-sample skin of the rendered three-dimensional figure in the first two-dimensional image to generate photorealistic skin in the second two-dimensional image;
• and
• using, by the one or more hardware processors, a set of upper-body machine-learning models to generate a third two-dimensional image based on a second input that comprises the second two-dimensional image, the set of upper-body machine-learning models being configured to up-sample an upper portion of the rendered three-dimensional figure in the second two-dimensional image to generate a photorealistic upper portion in the third two-dimensional image.