US20250173934
2025-05-29
Physics
G06T13/20
The system described enhances animation media production by integrating animated elements seamlessly with real-world environments. It comprises a computing device with at least one processor and memory, connected to a server via a network. This setup uses a Neural Radiance Field (NeRF) system to generate depth maps and a Simultaneous Localization and Mapping (SLAM) system for real-time 3D environment mapping. The innovation lies in using distributed AI agents that allow animated characters to adapt instantly to dynamic environmental changes, eliminating the need for post-production corrections.
Integrating animation with real-world footage is increasingly in demand as technology blurs the line between live-action and animation. Traditional methods like rotoscoping and 3D tracking present challenges such as depth discrepancies and lighting inconsistencies. NeRF and SLAM are advanced technologies that offer solutions; NeRF models 3D scenes from images, while SLAM tracks device positions in real-time. Despite their potential, NeRF is computationally intensive, and SLAM faces challenges in accuracy and scalability.
The system leverages NeRF for creating detailed depth maps, ensuring accurate placement of animated elements within a 3D model of a scene. SLAM is used to monitor the environment in real-time, refining depth maps and ensuring dynamic interactions are accurately represented. The integration of these technologies allows for high-quality film content that is indistinguishable from reality. The system also addresses scalability issues, providing enhancements over traditional methods.
Distributed AI agents play a crucial role by analyzing the 3D model to identify environmental features, lighting conditions, and potential interaction points. These agents collaborate in real-time to optimize animation placements, adjusting parameters like pose and lighting to match real-world conditions. This real-time adaptability ensures natural interactions between animated and real-world elements, enhancing the realism of the scenes produced.
The system continuously analyzes the 3D model, gathering feedback on placements and interactions to make necessary adjustments. It dynamically adapts lighting and perspective for static and dynamic elements to align with real-world conditions, ensuring seamless integration of animations into live environments. This approach not only improves production efficiency but also elevates the quality of animated media by maintaining consistency and interactivity throughout the production process.