S3 RT is the solution that makes real-time cinematic-quality ray tracing a practical reality. Our sparse visual world model intelligently determines precisely where in the scene real-time rays need to be traced to maintain full visual fidelity with zero compromises in quality.
S3 RT achieves massive performance acceleration, is easy to integrate, and significantly reduces the number of rays through adaptive sampling. By focusing the sampling on what matters, features such as complex reflections, refractions, and shadows are rendered at the highest quality. This efficiency is crucial for maintaining the interactive loop and delivering an exceptional player or user experience.
Unlike deep learning solutions that require substantial offline training using millions of training images, the S3 world model is deployed quickly, in seconds or minutes. This light weight integration, combined with the predictable quality supported by theoretical guarantees and mathematically derived error bounds, ensures that S3 RT is not just fast, but reliable, allowing 3D artists and developers to confidently implement next-generation lighting and visual effects.
S3 RT removes the performance barrier to cinematic visuals, unleashing true, photorealistic ray tracing at real-time speeds for groundbreaking interactive design, hyper-realistic simulations, and the next generation of AAA video games.
It provides the visual benefits of path tracing including hyper-realistic shadows, reflections, and global illumination at the interactive speed required for real-time applications. S3 RT enables true, high-quality ray tracing for interactive design, advanced simulation, and virtual reality without compromise.
From sample placement to the number of required samples and reconstruction complexity, S3 is faster than current state-of-the-art. S3 increases frame rate and saves energy by reducing computations. This is crucial for handheld and low powered devices, and to reduce the climate footprint.
Gamer consensus is that the latency introduced by frame generation reduces the gaming experience. S3 is fast enough not to need frame generation. S3 can be integrated as a light layer on top of any rendering engine (no matter real-time or offline).
Our optimal sampling is guaranteed to achieve a user-defined quality, no matter the scene complexity. S3 optimizes rendering speed with zero compromises in visual quality. Achieving a target visual quality is mathematically and empirically guaranteed.
The S3 sparse visual world model relies on few-shot training and does not need a data center to train. In fact, a few minutes on a consumer laptop suffices to train and fine-tune the model.
The sparse world model generalizes from single scenes and game levels to full games and entire game portfolios, requiring only a few training images never leaving your premises. From this perspective, S3 democratizes upscaling for gamers and game developers.