Presentation
64. Distance-adaptive unsupervised CNN model for computer-generated holography
DescriptionWe propose a CNN model for CGH synthesis that allows specifying not only target image but also propagation distance. Our model demonstrates comparable performance to traditional fixed-distance methods and achieves practical generation accuracy and speed even when the propagation distance is changed, enabling CGH generation in various contexts.
Event Type
Poster
TimeSunday, 28 July 20249:00am - 5:30pm MDT
LocationMile High Pre-Function Area
Session TimeSunday, 28 July 20249:00am - 5:30pm MDTMonday, 29 July 20249:00am - 5:30pm MDTTuesday, 30 July 20249:00am - 5:30pm MDTWednesday, 31 July 20249:00am - 5:30pm MDTThursday, 1 August 20249:00am - 5:30pm MDT
LocationMile High Pre-Function Area
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