Abstract: One embodiment of the present invention sets forth a technique for performing face swapping. The technique includes converting a first input image that depicts a first facial identity from a first viewpoint at a first time into a first latent representation and converting a second input image that depicts the first facial identity from a second viewpoint at the first time into a second latent representation. The technique also includes generating, via a first machine learning model, a first output image that depicts a second facial identity from the first viewpoint based on the first latent representation. The technique further includes generating, via the first machine learning model, a second output image that depicts the second facial identity from the second viewpoint based on the second latent representation.

Abstract: A computer-based method for generating a stereoscopic image from a two dimensional (2D) image such as a 2D cell animation. An object is selected in the 2D image, such as an animated character, and is stored in memory as the base image. With an erosion engine, the selected object is eroded to generate a set of eroded versions of the base image corresponding to a number of erosion levels. Each erosion level image may be formed by eroding or removing a set of outer or edge pixels from the image on the prior level. The method continues with calculating a parallax shift value for each of the eroded versions of the base image. An alternate eye image is then generated by compositing the set of eroded versions along with the base image. The eroded versions are horizontally offset from the base image by the level-specific parallax shift values.

Abstract: A computer-based method for generating a stereoscopic image from a two dimensional (2D) image such as a 2D cell animation. An object is selected in the 2D image, such as an animated character, and is stored in memory as the base image. With an erosion engine, the selected object is eroded to generate a set of eroded versions of the base image corresponding to a number of erosion levels. Each erosion level image may be formed by eroding or removing a set of outer or edge pixels from the image on the prior level. The method continues with calculating a parallax shift value for each of the eroded versions of the base image. An alternate eye image is then generated by compositing the set of eroded versions along with the base image. The eroded versions are horizontally offset from the base image by the level-specific parallax shift values.