Achieving blazingly-fast, highly stable frame rates and uncompromised visual fidelity by intelligently rendering only the most critical pixels, S3 Gaming delivers the ultimate gaming experience with zero latency - render only what matters!
Sparse Super Sampling (S3) is powered by our proprietary sparse visual world model, which delivers rendering speed and resource efficiency.
The machine learning core is trained in seconds or minutes, ensuring a minimal energy footprint, immediate integration and maximum agility.
The S3 super sampling process is optimized to execute per frame within the rendering pipeline which guarantees that the computational acceleration translates instantly and directly to the player.
By rendering only what matters, S3 drastically reduces the computational load, saves energy, and achieves blazingly-fast frame rates and uncompromised visual fidelity with no perceptual latency for the player.
Our technology significantly boosts frame rates and reduces the GPU's computational load without sacrificing the stunning visual quality your players demand. S3 Gaming delivers a consistently smoother, more immersive, and high-fidelity experience across a wider range of hardware.
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.