Abstract: Systems and methods for displaying a virtual character in a mixed reality environment are disclosed. In some embodiments, a view of the virtual character is based on an animation rig comprising primary joints and helper joints. The animation rig may be in a pose defined by spatial relationships between the primary joints and helper joints. The virtual character may be moving in the mixed reality environment. In some instances, the virtual character may be moving based on a comparison of interestingness values associated with elements in the mixed reality environment. The spatial relationship transformation associated with the movement may be indicated by movement information. In some embodiments, the movement information is received from a neural network.

Abstract: Systems and methods for displaying a virtual character in a mixed reality environment are disclosed. In some embodiments, a view of the virtual character is based on an animation rig comprising primary joints and helper joints. The animation rig may be in a pose defined by spatial relationships between the primary joints and helper joints. The virtual character may be moving in the mixed reality environment. In some instances, the virtual character may be moving based on a comparison of interestingness values associated with elements in the mixed reality environment. The spatial relationship transformation associated with the movement may be indicated by movement information. In some embodiments, the movement information is received from a neural network.

Abstract: Systems and methods for displaying a virtual character in a mixed reality environment are disclosed. In some embodiments, a view of the virtual character is based on an animation rig comprising primary joints and helper joints. The animation rig may be in a pose defined by spatial relationships between the primary joints and helper joints. The virtual character may be moving in the mixed reality environment. In some instances, the virtual character may be moving based on a comparison of interestingness values associated with elements in the mixed reality environment. The spatial relationship transformation associated with the movement may be indicated by movement information. In some embodiments, the movement information is received from a neural network.

Abstract: Systems and methods for displaying a virtual character in a mixed reality environment are disclosed. In some embodiments, a view of the virtual character is based on an animation rig comprising primary joints and helper joints. The animation rig may be in a pose defined by spatial relationships between the primary joints and helper joints. The virtual character may be moving in the mixed reality environment. In some instances, the virtual character may be moving based on a comparison of interestingness values associated with elements in the mixed reality environment. The spatial relationship transformation associated with the movement may be indicated by movement information. In some embodiments, the movement information is received from a neural network.

Abstract: Systems and methods for displaying a virtual character in a mixed reality environment are disclosed. In some embodiments, a view of the virtual character is based on an animation rig comprising primary joints and helper joints. The animation rig may be in a pose defined by spatial relationships between the primary joints and helper joints. The virtual character may be moving in the mixed reality environment. In some instances, the virtual character may be moving based on a comparison of interestingness values associated with elements in the mixed reality environment. The spatial relationship transformation associated with the movement may be indicated by movement information. In some embodiments, the movement information is received from a neural network.

Abstract: Systems and methods for displaying a virtual character in a mixed reality environment are disclosed. In some embodiments, a view of the virtual character is based on an animation rig comprising primary joints and helper joints. The animation rig may be in a pose defined by spatial relationships between the primary joints and helper joints. The virtual character may be moving in the mixed reality environment. In some instances, the virtual character may be moving based on a comparison of interestingness values associated with elements in the mixed reality environment. The spatial relationship transformation associated with the movement may be indicated by movement information. In some embodiments, the movement information is received from a neural network.

Abstract: A scattered spherical harmonic (SH) approximation method is proposed for pre-computation of SH coefficients at sampling vertices of an object to be rendered. The approach sparsely populates the object with a plurality of SH sampling vertices and uses the least squares approximation to calculate the SH coefficients at any (other) arbitrary point of the object by extrapolating from the computed SH coefficients at the SH sampling vertices.

Abstract: Systems and methods image zooming with intensity preservation is disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of minimizing energy levels over a set of high-resolution image pixels of a high-resolution image via total variational filtering to obtain the high-resolution image from at least a portion of a low-resolution image; the low-resolution image having a first energy level, the high resolution image having a second energy level, and the first energy level to be substantially similar in value as the second energy level. One embodiment can include, determining a pixel value of a particular high-resolution image pixel based on the pixel values of a plurality of pixels of the at least a portion of the low-resolution image and the pixel values of the high-resolution image pixels not including the particular high-resolution image pixel.

Abstract: Systems and methods image zooming with intensity preservation is disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of minimizing energy levels over a set of high-resolution image pixels of a high-resolution image via total variational filtering to obtain the high-resolution image from at least a portion of a low-resolution image; the low-resolution image having a first energy level, the high resolution image having a second energy level, and the first energy level to be substantially similar in value as the second energy level. One embodiment can include, determining a pixel value of a particular high-resolution image pixel based on the pixel values of a plurality of pixels of the at least a portion of the low-resolution image and the pixel values of the high-resolution image pixels not including the particular high-resolution image pixel.

Abstract: A scattered spherical harmonic (SH) approximation method is proposed for pre-computation of SH coefficients at sampling vertices of an object to be rendered. The approach sparsely populates the object with a plurality of SH sampling vertices and uses the least squares approximation to calculate the SH coefficients at any (other) arbitrary point of the object by extrapolating from the computed SH coefficients at the SH sampling vertices.