This study proposes a method that combines virtual reality technology and Generative Adversarial Networks (GANs) to enhance the experience of interactive animation. This article aims to enhance the realism and immersion of animation by developing a framework that can generate personalized animation content based on real-time user interaction. In the animation realism evaluation experiment, the average score of animations generated based on GANs on realism was 4.5. In the second user immersion experience experiment, the average immersion rating of users using VR technology was 8.5. In the interactive response time testing experiment, dynamic generated animation (VR animation) can shorten the response time to 2.9 s and reduce the error rate to 10%. In the final user satisfaction evaluation, the user satisfaction score for dynamically generated animations reached 4.5 points. From these experimental data conclusions, it can be seen that the combination of virtual reality and generative adversarial network technology has significant advantages in improving the realism, immersion, interactive efficiency, and personalized satisfaction of animation experience.

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Integrating Virtual Reality Technology and Algorithms to Achieve Interactive Animation Experience

  • Xiawei Lu

摘要

This study proposes a method that combines virtual reality technology and Generative Adversarial Networks (GANs) to enhance the experience of interactive animation. This article aims to enhance the realism and immersion of animation by developing a framework that can generate personalized animation content based on real-time user interaction. In the animation realism evaluation experiment, the average score of animations generated based on GANs on realism was 4.5. In the second user immersion experience experiment, the average immersion rating of users using VR technology was 8.5. In the interactive response time testing experiment, dynamic generated animation (VR animation) can shorten the response time to 2.9 s and reduce the error rate to 10%. In the final user satisfaction evaluation, the user satisfaction score for dynamically generated animations reached 4.5 points. From these experimental data conclusions, it can be seen that the combination of virtual reality and generative adversarial network technology has significant advantages in improving the realism, immersion, interactive efficiency, and personalized satisfaction of animation experience.