RAYVISIONReshaping Content Rendering with AI Technology
Rayvision Technology adheres to independent innovation and has achieved breakthroughs in several key areas such as AI algorithms, image processing models, computing power scheduling, and big data transmission. It has achieved independent control over core technologies and reached international leading levels in many technologies.
Rendering Acceleration
Deeply integrates AI intelligent sampling and denoising algorithms, comprehensively reconstructing the rendering workflow. While ensuring lossless image quality, GPU acceleration can improve rendering efficiency by several to tens of times, significantly reducing wait times from concept verification to final output, enabling faster creative cycles and lower rendering costs.
Image enhancement model
Leveraging its self-developed AIGC image enhancement model, it easily achieves film-grade video restoration and enhancement. It supports intelligent super-resolution, frame rate boosting, and flaw repair from standard definition to 4K/ultra-high definition, significantly improving image quality and smoothness, transforming ordinary footage into professional-grade ultra-high-definition video content.
Model fine-tuning
By fine-tuning the AIGC model using massive datasets from the film and television industry and combining it with Rayvision's years of experience in CG rendering workflows, the technology enables it to output professional-grade film-quality visuals. This technology integrates the generation efficiency of AI with the precise controllability of CG rendering, providing a new path for high-quality content creation.
Computing Power Scheduling
Leveraging Rayvision's unique cross-network scheduling architecture and the patented "munu" scheduling algorithm, the system achieves unified intelligent management of heterogeneous computing resources (multi-chip, multi-system) across the country. It possesses excellent fault tolerance and self-recovery capabilities, ensuring complex rendering and computing tasks are completed efficiently and accurately
High-Speed Transmission
Based on deep learning-based intelligent bandwidth detection and efficient UDP retransmission algorithms, we have achieved stable high-speed transmission between any two points globally, pushing bandwidth utilization to near its limit without relying on relay nodes. The transmission protocol incorporates an industrial-grade encryption mechanism, ensuring data security and integrity throughout the process.
Rendering Copilot
The company's expert-trained rendering model, based on 15 years of rendering industry experience and massive data accumulation from the company's TD team, can identify most common rendering problems, intelligently alerting users to abnormal parameters and providing modification suggestions, greatly saving users' troubleshooting time and significantly reducing the occurrence of failures.
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