Abstract: A technique for performing style transfer between a content sample and a style sample is disclosed. The technique includes applying one or more neural network layers to a first latent representation of the style sample to generate one or more convolutional kernels. The technique also includes generating convolutional output by convolving a second latent representation of the content sample with the one or more convolutional kernels. The technique further includes applying one or more decoder layers to the convolutional output to produce a style transfer result that comprises one or more content-based attributes of the content sample and one or more style-based attributes of the style sample.

Abstract: Techniques are disclosed for training and applying nonlinear face models. In embodiments, a nonlinear face model includes an identity encoder, an expression encoder, and a decoder. The identity encoder takes as input a representation of a facial identity, such as a neutral face mesh minus a reference mesh, and outputs a code associated with the facial identity. The expression encoder takes as input a representation of a target expression, such as a set of blendweight values, and outputs a code associated with the target expression. The codes associated with the facial identity and the facial expression can be concatenated and input into the decoder, which outputs a representation of a face having the facial identity and expression. The representation of the face can include vertex displacements for deforming the reference mesh.

Abstract: Techniques are disclosed for generating digital faces. In some examples, a style-based generator receives as inputs initial tensor(s) and style vector(s) corresponding to user-selected semantic attribute styles, such as the desired expression, gender, age, identity, and/or ethnicity of a digital face. The style-based generator is trained to process such inputs and output low-resolution appearance map(s) for the digital face, such as a texture map, a normal map, and/or a specular roughness map. The low-resolution appearance map(s) are further processed using a super-resolution generator that is trained to take the low-resolution appearance map(s) and low-resolution 3D geometry of the digital face as inputs and output high-resolution appearance map(s) that align with high-resolution 3D geometry of the digital face. Such high-resolution appearance map(s) and high-resolution 3D geometry can then be used to render standalone images or the frames of a video that include the digital face.

Abstract: Techniques are disclosed for generating digital faces. In some examples, a style-based generator receives as inputs initial tensor(s) and style vector(s) corresponding to user-selected semantic attribute styles, such as the desired expression, gender, age, identity, and/or ethnicity of a digital face. The style-based generator is trained to process such inputs and output low-resolution appearance map(s) for the digital face, such as a texture map, a normal map, and/or a specular roughness map. The low-resolution appearance map(s) are further processed using a super-resolution generator that is trained to take the low-resolution appearance map(s) and low-resolution 3D geometry of the digital face as inputs and output high-resolution appearance map(s) that align with high-resolution 3D geometry of the digital face. Such high-resolution appearance map(s) and high-resolution 3D geometry can then be used to render standalone images or the frames of a video that include the digital face.

Abstract: Techniques are disclosed for training and applying nonlinear face models. In embodiments, a nonlinear face model includes an identity encoder, an expression encoder, and a decoder. The identity encoder takes as input a representation of a facial identity, such as a neutral face mesh minus a reference mesh, and outputs a code associated with the facial identity. The expression encoder takes as input a representation of a target expression, such as a set of blendweight values, and outputs a code associated with the target expression. The codes associated with the facial identity and the facial expression can be concatenated and input into the decoder, which outputs a representation of a face having the facial identity and expression. The representation of the face can include vertex displacements for deforming the reference mesh.

Abstract: According to one implementation, a pose estimation and body tracking system includes a computing platform having a hardware processor and a system memory storing a software code including a tracking module trained to track motions. The software code receives a series of images of motion by a subject, and for each image, uses the tracking module to determine locations corresponding respectively to two-dimensional (2D) skeletal landmarks of the subject based on constraints imposed by features of a hierarchical skeleton model intersecting at each 2D skeletal landmark. The software code further uses the tracking module to infer joint angles of the subject based on the locations and determine a three-dimensional (3D) pose of the subject based on the locations and the joint angles, resulting in a series of 3D poses. The software code outputs a tracking image corresponding to the motion by the subject based on the series of 3D poses.

Abstract: Biodegradable facial pads for exfoliation purposes are disclosed. The facial pad includes a top layer and a bottom layer made of a hydro-entangled, non-woven fibrous material. A coarse fabric material that may have undulations to provide exfoliating effect is sandwiched between the top layer and the bottom layer. The coarse fabric layer is configured to provide stiffness to the pads so as to aid and facilitate exfoliation. The top layer, bottom layer and the coarse material layer are pinched together along the edges to form an exfoliating pad of specified weight. The top layer is configured to overlay the coarse fabric layer to incorporate the undulations in the coarse fabric layer. This may form exfoliating peaks and absorbent cotton valleys that are suitable for removal of dead cells from the skin when used for exfoliating purposes.

Abstract: According to one implementation, a pose estimation and body tracking system includes a computing platform having a hardware processor and a system memory storing a software code including a tracking module trained to track motions. The software code receives a series of images of motion by a subject, and for each image, uses the tracking module to determine locations corresponding respectively to two-dimensional (2D) skeletal landmarks of the subject based on constraints imposed by features of a hierarchical skeleton model intersecting at each 2D skeletal landmark. The software code further uses the tracking module to infer joint angles of the subject based on the locations and determine a three-dimensional (3D) pose of the subject based on the locations and the joint angles, resulting in a series of 3D poses. The software code outputs a tracking image corresponding to the motion by the subject based on the series of 3D poses.

Abstract: Biodegradable facial pads for exfoliation purposes are disclosed. The facial pad includes a top layer and a bottom layer made of a hydro-entangled, non-woven fibrous material. A coarse fabric material that may have undulations to provide exfoliating effect is sandwiched between the top layer and the bottom layer. The coarse fabric layer is configured to provide stiffness to the pads so as to aid and facilitate exfoliation. The top layer, bottom layer and the coarse material layer are pinched together along the edges to form an exfoliating pad of specified weight. The top layer is configured to overlay the coarse fabric layer to incorporate the undulations in the coarse fabric layer. This may form exfoliating peaks and absorbent cotton valleys that are suitable for removal of dead cells from the skin when used for exfoliating purposes.