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Method, device and equipment for generating digital human gesture and storage medium

ActiveCN116524074Brealistic effectAnimationEnergy efficient computingHuman–computer interactionGesture synthesis
This invention provides a method, apparatus, device, and storage medium for generating digital human gestures. The method includes: acquiring a target audio file from which digital human gestures are to be generated; determining an action sequence corresponding to the target audio file based on a script generation model; and controlling the synthesis of representative gestures and rhythmic gestures corresponding to the target audio file based on the action sequence and the gesture generation model. The method provided by this invention effectively controls the synthesis of digital human gestures under synchronized speech by using the action sequence corresponding to the target audio file determined by the script generation model. It decouples and models the gestures to obtain a representative gesture generation model and a rhythmic gesture generation model. By combining the representative gestures and rhythmic gestures obtained from the gesture generation models, more natural and richer gestures can be generated, making the digital human gestures more realistic.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI

An ocular image generation system and method

The application belongs to the technical field of face changing and digital human generation, and particularly relates to an eye image generation system and method, which comprises: an image preprocessing module, an eye feature point detection module, an eye region extraction module, an eye region transformation module, an eyeball detection module, an eyeball generation module, an eye fusion module and an eye region generation module. The application provides an eye image generation system and method, which finely divides an eye region according to eye physiological characteristics, generates different sub-regions of the eye region, improves the authenticity and naturalness of the eye region generation, and makes the eye region generation applicable to application fields such as face changing and digital human generation. The application can generate eyeball images of real human eyes in any line-of-sight direction, and can generate eyeball regions without a large amount of data and calculation. The application processes different regions of the eye region in a region-by-region manner, and particularly processes important eyeball features of the eye region, so that the overall effect of the eye region is real.
Owner:LANZHOU FUTURE NEW FILM CULTURE & TECH GRP CO LTD