Researchers at the University of Science and Technology of China have introduced “City-on-Web,” a method to render large scenes in real-time by partitioning scenes into blocks and employing varying levels-of-detail (LOD). This approach enables efficient resource management, reducing bandwidth and memory requirements, and achieves high-fidelity rendering at 32 FPS with minimal GPU usage.
Real-Time Neural Rendering of Large-Scale Scenes on Web Using AI
Challenges and Solutions
The rendering of extensive scenes in real-time demands significant computational resources, often exceeding the limitations of client devices. Researchers at the University of Science and Technology of China have proposed Cityon-Web, a method that addresses these challenges.
Cityon-Web employs block partitioning and Levels-of-Detail (LOD) to manage scenes efficiently. It precomputes rendering primitives into 3D atlas textures organized within a sparse grid in each block, facilitating real-time rendering. This approach significantly reduces the bandwidth and memory requirements of rendering extensive scenes, leading to smoother user experiences, especially on less powerful devices.
The experiments show that City-on-Web achieves photorealistic rendering at 32 frames per second (FPS) with minimal resource utilization compared to existing methods, making it practical for real-world applications.
Practical AI Solutions for Middle Managers
If you want to evolve your company with AI, consider the following steps:
- Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI.
- Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes.
- Select an AI Solution: Choose tools that align with your needs and provide customization.
- Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously.
Spotlight on a Practical AI Solution
Consider the AI Sales Bot from itinai.com/aisalesbot, designed to automate customer engagement 24/7 and manage interactions across all customer journey stages.
For AI KPI management advice and continuous insights into leveraging AI, connect with us at hello@itinai.com or follow us on Telegram or Twitter.
Discover how AI can redefine your sales processes and customer engagement. Explore solutions at itinai.com.
