Abstract: A system including a processor and a non-transitory computer-readable media storing computing instructions that, when executed on the processor, cause the processor to perform certain operations: obtaining an image of a digital space; extracting a depth map and a segmentation map of the image; passing each of the depth map and the segmentation map through a respective model of two parallel image diffusion models using stable diffusion with controlled image generation; prompting a selection of a target style for the digital space; segmenting, using image segmentation, the image in a target stylized digital space; and determining, using dominant color filtering, visual images of complementary items. Other embodiments are described.

Abstract: Three-dimensional (3D) avatars may be produced by stylizing a dataset of images based on a user-input text prompt input to a stable diffusion model, and using the output stylized dataset of images to train an efficient geometry-aware 3D generative adversarial network (EG3D) model.

Abstract: Three-dimensional (3D) avatars may be produced by stylizing a dataset of images based on a user-input text prompt input to a stable diffusion model, and using the output stylized dataset of images to train an efficient geometry-aware 3D generative adversarial network (EG3D) model.