专家解读AI生成“游戏3D”

Summary of Key Points from the Conference Call Industry Overview - The conference discusses advancements in the 3D game development industry, particularly focusing on the Gaussian Splitting technology that has emerged as a significant innovation since its release in August 2023, replacing the previously dominant Neural Radiance Fields (NERF) technology [1][2][3]. Core Insights and Arguments - Efficiency of Gaussian Splitting: - Gaussian Splitting significantly reduces modeling time, generating scenes of comparable quality in approximately 38 minutes, while NERF requires about 48 hours [1][2][3]. - The technology allows for real-time modeling effects, enhancing the overall development process [2][3]. - Modeling Technique: - The method utilizes ellipsoids instead of traditional triangles for 3D model construction, allowing for adjustments in length, transparency, and color to match photographic references from various angles [1][4]. - Impact on Game Development: - New AI models like Gaussian Splitting improve early gameplay testing efficiency, enabling developers to conduct tests more frequently and earlier in the development cycle, thus accelerating iteration and reducing labor and cost [1][6]. - Dynamic Video Model Generation: - The process involves selecting key frames from videos (e.g., 100-200 frames from a total of 1,004) for training, which can then be exported as PLY files for editing in software like Blender [1][8]. - Compatibility Solutions: - To address compatibility issues between Gaussian models and game engines, specialized software or open-source algorithms can convert ellipsoidal models into Mesh structures, enhancing interaction and visual effects [1][10]. Additional Important Content - Use of Drones: - Drones can efficiently capture large scenes, particularly for high-precision restoration needs, reducing the quality requirements for photography and speeding up scene creation [1][12]. - Real-World Applications: - The technology has been successfully applied in various projects, including user-generated content (UGC) games, where realistic environments are created at lower costs and time [1][15]. - Challenges in Scene Generation: - While Gaussian Splitting allows for rapid scene generation, issues such as loading times for high-definition maps (e.g., a 1GB map may take longer to load) and potential blurriness from insufficient data capture remain [1][19]. - Broader Applications: - Beyond gaming, Gaussian Splitting is also applicable in fields like architecture and museum displays, allowing for realistic representations using accessible technology [1][21]. This summary encapsulates the key points discussed in the conference call, highlighting the advancements and implications of Gaussian Splitting technology in the 3D game development industry.