Abstract: Mipping systems and methods are disclosed. For example, a mipping system can include processing circuitry configured to receive combinations of a plurality of pixels N at a time, each pixel having material codes directed to respective materials of the pixels, where the material codes relate to infrared properties of the respective materials, and N is a positive integer greater than 1; and train an artificial neural network having a classification space by providing respective neurons for each unique combination of material codes, and condition the artificial neural network so that the respective neurons activate when presented with their unique of material code combinations in order to create a combined set of material code parameters for accurate rendering of the mipped pixels.

Abstract: Aspects of the disclosure provide an apparatus for image displaying. The apparatus includes a prediction system and an imaging system. The prediction system is configured to predict, for a first time, a first position of a display device at a specific future time for displaying an image associated with a position of the display, and predict, for a second time that is later than the first time, a second position of the display at the future time with an offset to the first position. The imaging system is configured to render a first image associated with the first position, buffer the first image in a memory, and adjust the buffered first image according to the offset to generate a second image associated with the second position of the display device.

Abstract: Mipping systems and methods are disclosed. For example, a mipping system can include processing circuitry configured to receive combinations of a plurality of pixels N at a time, each pixel having material codes directed to respective materials of the pixels, where the material codes relate to infrared properties of the respective materials, and N is a positive integer greater than 1; and train an artificial neural network having a classification space by providing respective neurons for each unique combination of material codes, and condition the artificial neural network so that the respective neurons activate when presented with their unique of material code combinations in order to create a combined set of material code parameters for accurate rendering of the mipped pixels.