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Google DeepMind has released GameNGen, a fully neural network-driven game engine that revolutionizes traditional game image generation methods. GameNGen can generate game visuals in real-time based on player actions, achieving high-quality images that are nearly indistinguishable from reality, with smoothness close to the minimum frame rate perceptible to the human eye. This technology showcases the immense potential of AI in the game development field, which could change game development efficiency, provide personalized experiences, unlock infinite possibilities, and impact game hardware demands and creative approaches.

The innovative application of Hierarchical 3D Gaussian in virtual reality and computer graphics significantly enhances visual effects, training speed, and real-time rendering capabilities. By constructing a hierarchical 3D Gaussian structure, it efficiently handles large-scale scene datasets, overcoming traditional methods' limitations in sparse scene processing. Utilizing chunked training and hierarchical optimization techniques, it processes te....