3D数字人为什么是具身智能的解法？AI视频生成模型Sora 2的发布，再次点燃了人们对AI内容的想象。然而，它终究是“被观看”的2D内容，无法实时交互。我们正处在一个“有脑无身”的AI与“有身无脑”的机器人分裂的时代。 而3D数字人的出现，也许将成为连接虚拟与现实的关键路径：它不仅是AI主播或游戏角色，更被视为“具身智能驱动层”的突破方向，让AI从“会说话”进化到“会表达”。3D数字人试图让AI长出身体，并以“人的方式”存在和行动。 但如何打破高质量、低延时、低成本的不可能三角，同时在真实、多变的场景中都能实现“泛化”的能力，依然是还目前行业所必须面对的挑战。如果未来所有的屏幕都会说话、NPC会成长、机器人可以共情，我们与它们的关系将变成什么？我们距离“数字生命”的时代还有多远？ 你会看到： 00:00 - 02:18 融合大模型+机器人，3D数字人是通往具身智能的桥梁 02:18 - 04:43 从银幕到赛博空间：数字人发展简史 04:43 - 06:43 两条技术路线的演进与分野：2D“会说话”与3D“会表达” 06:43 - 10:05 构建具身智能驱动层：生成3D数字人的五大环节 10:05 - 16 ...

Core Insights - The rise of 3D digital humans is transforming content creation and interaction, moving from rigid, scripted avatars to dynamic, responsive entities capable of real-time expression and movement [1][2] - The technology behind 3D digital humans is evolving, with significant advancements in AI and rendering techniques that reduce costs and improve quality [7][36] - The integration of 3D digital humans into various industries, including gaming and film, is expected to grow, with potential applications in customer service and interactive experiences [1][12] Group 1: Technological Advancements - 3D digital humans have progressed from basic, scripted models to sophisticated entities that can generate voice, expressions, and movements in real-time [1][2] - The introduction of models like Sora2 demonstrates the potential for generating human-like actions and interactions, although challenges remain in error correction and precise control [3][5] - The combination of 2D and 3D training techniques is being explored to enhance the expressiveness and accuracy of digital humans [5][7] Group 2: Cost Efficiency - The cost of creating and deploying 3D digital humans is significantly lower than traditional methods, with estimates suggesting costs are a fraction of those associated with large models [7][36] - AI rendering and calculation techniques have enabled the use of inexpensive hardware to run complex 3D models, making the technology more accessible [36][38] - The ability to generate high-quality 3D content without the need for expensive graphics engines or hardware is a game-changer for the industry [36][39] Group 3: Industry Applications - 3D digital humans are being positioned as the next generation of content producers, with applications in live streaming, customer service, and entertainment [2][12] - The technology is expected to bridge the gap between virtual and physical interactions, enhancing user experiences in various sectors [1][12] - The potential for 3D digital humans to be integrated into VR and AR environments opens new avenues for immersive experiences [5][12] Group 4: Data and Model Development - The accumulation of high-quality 3D animation data is crucial for training effective AI models, with the company claiming to have over 1,000 hours of such data [24][25] - The integration of video data with 3D data is being pursued to improve model training and enhance the realism of digital human interactions [25][26] - The development of a "3D action model" is underway, which aims to automate the generation of 3D motion data for robots, further bridging the gap between digital and physical realms [46][48] Group 5: Future Prospects - The company aims to transition from a 3D digital human provider to a platform that enables other developers to create applications using their technology [12][13] - The potential for 3D digital humans to impact the film industry is acknowledged, although challenges in achieving the high-quality standards of Hollywood remain [33][34] - The ongoing evolution of AI and robotics suggests a promising future for the integration of 3D digital humans in various applications, with expectations for significant advancements in the coming years [57][59]