Abstract: A method of generating or modifying poses in an animation of a character are disclosed. Variable numbers and types of supplied inputs are combined into a single input. The variable numbers and types of supplied inputs correspond to one or more effector constraints for one or more joints of the character. The single input is transformed into a pose embedding. The pose embedding includes a machine-learned representation of the single input. The pose embedding is expanded into a pose representation output. The pose representation output includes local rotation data and global position data for the one or more joints of the character.

Abstract: A method of populating a digital environment with digital content is disclosed. Environment data describing the digital environment is accessed. Populator data describing a populator digital object is accessed. The populator data includes semantic data describing the populator digital object. The populator digital object is placed within the digital environment. A semantic map representation of the populator digital object is generated. The semantic map representation is divided into a plurality of cells. A target cell of the plurality of cells is selected as a placeholder in the digital environment for a digital object that is optionally subsequently instantiated. The selecting of the target cell is based on an analysis of the environment data, the populator data, and the semantic map representation. Placeholder data is recorded in the semantic map representation. The placeholder data includes properties corresponding to the digital object that is optionally subsequently instantiated.

Abstract: A method of optimizing a pose of a character is disclosed. An input is received. The input defines one or more effectors. A pose is generated for the character using a learned inverse kinematics (LIK) machine-learning (ML) component. The LIK ML component is trained using a motion dataset. The generating of the pose is based on one or more criteria. The one or more criteria include explicit intent expressed as the one or more effectors. The generated pose is adjusted using an ordinary inverse kinematics (OIK) component. The OIK component solves an output from the LIK ML component to increase an accuracy at which the explicit intent is reached. A final pose is generated from the adjusted pose. The generating of the final pose includes applying a physics engine (PE) to an output from the OIK component to increase a physics accuracy of the pose.

Abstract: A method of populating a digital environment with digital content is disclosed. Environment data describing the digital environment is accessed. Populator data describing a populator digital object is accessed. The populator data includes semantic data describing the populator digital object. The populator digital object is placed within the digital environment. A semantic map representation of the populator digital object is generated. The semantic map representation is divided into a plurality of cells. A target cell of the plurality of cells is selected as a placeholder in the digital environment for a digital object that is optionally subsequently instantiated. The selecting of the target cell is based on an analysis of the environment data, the populator data, and the semantic map representation. Placeholder data is recorded in the semantic map representation. The placeholder data includes properties corresponding to the digital object that is optionally subsequently instantiated.

Abstract: A method of generating or modifying poses in an animation of a character are disclosed. Variable numbers and types of supplied inputs are combined into a single input. The variable numbers and types of supplied inputs correspond to one or more effector constraints for one or more joints of the character. The single input is transformed into a pose embedding. The pose embedding includes a machine-learned representation of the single input. The pose embedding is expanded into a pose representation output. The pose representation output includes local rotation data and global position data for the one or more joints of the character.

Abstract: A method of populating a digital environment with digital content is disclosed. Environment data describing the digital environment is accessed. Populator data describing a populator digital object is accessed. The populator data includes semantic data describing the populator digital object. The populator digital object is placed within the digital environment. A semantic map representation of the populator digital object is generated. The semantic map representation is divided into a plurality of cells. A target cell of the plurality of cells is selected as a placeholder in the digital environment for a digital object that is optionally subsequently instantiated. The selecting of the target cell is based on an analysis of the environment data, the populator data, and the semantic map representation. Placeholder data is recorded in the semantic map representation. The placeholder data includes properties corresponding to the digital object that is optionally subsequently instantiated.

Abstract: A method of generating or modifying poses in an animation of a character are disclosed. Variable numbers and types of supplied inputs are combined into a single input. The variable numbers and types of supplied inputs correspond to one or more effector constraints for one or more joints of the character. The single input is transformed into a pose embedding. The pose embedding includes a machine-learned representation of the single input. The pose embedding is expanded into a pose representation output. The pose representation output includes local rotation data and global position data for the one or more joints of the character.

Abstract: A method of generating a high-resolution image frame for a state of a video game within a 2D or 3D environment is disclosed. A low-resolution data map of a virtual camera frustum view of the 2D or 3D environment for the state is determined. The data map is of a data type. A high-resolution output data map of the data type is generated from the low-resolution data map. The generating of the high-resolution output data map includes training a neural network. The training includes associating a low-resolution data map of the data type with a high-resolution data map of the data type within the 2D or 3D environment. A high-resolution image of the frustum view is generated from the high-resolution output data map. The generated high-resolution image is displayed on a display device.

Abstract: A method of populating a digital environment with digital content is disclosed. Environment data describing the digital environment is accessed. Populator data describing a populator digital object is accessed. The populator data includes semantic data describing the populator digital object. The populator digital object is placed within the digital environment. A semantic map representation of the populator digital object is generated. The semantic map representation is divided into a plurality of cells. A target cell of the plurality of cells is selected as a placeholder in the digital environment for a digital object that is optionally subsequently instantiated. The selecting of the target cell is based on an analysis of the environment data, the populator data, and the semantic map representation. Placeholder data is recorded in the semantic map representation. The placeholder data includes properties corresponding to the digital object that is optionally subsequently instantiated.

Abstract: A method of generating a high-resolution image frame for a state of a video game within a 2D or 3D environment is disclosed. A low-resolution data map of a virtual camera frustum view of the 2D or 3D environment for the state is determined. The data map is of a data type. A high-resolution output data map of the data type is generated from the low-resolution data map. The generating of the high-resolution output data map includes training a neural network. The training includes associating a low-resolution data map of the data type with a high-resolution data map of the data type within the 2D or 3D environment. A high-resolution image of the frustum view is generated from the high-resolution output data map. The generated high-resolution image is displayed on a display device.

Abstract: A system includes a memory, processors, and an asset player module configured to identify a playable asset configuration for a first playable asset, including a first graph configuration identifying processing nodes and edges, each node in the graph configuration represents a media processing component configured to modify media inputs to generate a media output, construct a graph in the memory based on the first graph configuration, receive a first set of media inputs, execute the media processing components in an order based on the graph configuration and using the first set of media inputs as the one or more input media components, based on said executing, generate a media output configured to be played by a conventional media player, alter the graph at runtime, thereby changing the media processing components identified within the graph, and execute the media processing components of the graph after the altering.

Abstract: A system includes a memory, processors, and an asset player module configured to identify a playable asset configuration for a first playable asset, including a first graph configuration identifying processing nodes and edges, each node in the graph configuration represents a media processing component configured to modify media inputs to generate a media output, construct a graph in the memory based on the first graph configuration, receive a first set of media inputs, execute the media processing components in an order based on the graph configuration and using the first set of media inputs as the one or more input media components, based on said executing, generate a media output configured to be played by a conventional media player, alter the graph at runtime, thereby changing the media processing components identified within the graph, and execute the media processing components of the graph after the altering.

Abstract: It is desirable for a fragment shader to have access to non-interpolated values for each vertex of the primitive in which the fragment is located. For example, a fragment shader may use the distortion of the primitive with respect to an original state of the primitive as part of the function the fragment shader performs. Due to the specification of fragment shaders and vertex shaders, fragments shaders receive only interpolated values, and thus cannot receive non-interpolated values of, for example, one solution to this problem would be to modify the processing engine for the shader language, and the shader specifications themselves, so that a fragment shader can receive non-interpolated values from the vertices of the primitive on which the fragment is located. Desirable values to receive would be at least the vertex coordinates. Another solution is to specify and use varyings in a manner that pass data to a fragment shader that permit the fragment shader to reconstruct the non-interpolated values.

Abstract: An operator graph representing three-dimensional animation can be analyzed to identify subgraphs of the operator graph in which operators are not required to operate in a serialized manner. Such a condition may arise, for example, when two operators are not dependent on each other for data. This condition may arise when the operators are operating on different elements in a scene. Such operators may be evaluated in parallel. To identify these operators, a dependency graph is created. The dependency graph indicates which operators have inputs that are dependent on outputs provided by other operators. Using this graph, operators that are independent of each other can be readily identified. These operators can be evaluated in parallel. In an interactive editing system for three-dimensional animation or other rich media, such an analysis of an operator graph would occur when changes are made to the animation.

Abstract: It is desirable for a fragment shader to have access to non-interpolated values for each vertex of the primitive in which the fragment is located. For example, a fragment shader may use the distortion of the primitive with respect to an original state of the primitive as part of the function the fragment shader performs. Due to the specification of fragment shaders and vertex shaders, fragments shaders receive only interpolated values, and thus cannot receive non-interpolated values of, for example, one solution to this problem would be to modify the processing engine for the shader language, and the shader specifications themselves, so that a fragment shader can receive non-interpolated values from the vertices of the primitive on which the fragment is located. Desirable values to receive would be at least the vertex coordinates. Another solution is to specify and use varyings in a manner that pass data to a fragment shader that permit the fragment shader to reconstruct the non-interpolated values.