S3 Photo revolutionizes off-line photo-realistic rendering through massive performance gains. Powered by our sparse visual world model, it ensures instant deployment with any complex scene.
With no compromise in quality, S3 Photo intelligently renders only the most critical visual data and cuts the computational costs to deliver an unprecedented speedup of up to 10x in architectural visualization, product rendering, and VFX workflows, translating directly into significant time savings for designers and artists. The reduction of rendering complexity lowers the power consumption associated with long render times, leading to major energy and carbon footprint savings and substantial long-term cost savings.
3ds Max
Integrate S3 Photo directly into your 3ds Max workflow to dramatically accelerate high-fidelity rendering for complex scene visualization.
Blender
Unlock massive performance gains in Blender's rendering engine, allowing independent artists and studios to iterate and finalize projects up to 10x faster.
Houdini
Seamlessly incorporate S3 Photo into advanced procedural workflows within Houdini to speed up simulations and complex effects rendering exponentially.
Maya
Accelerate rendering within Maya's versatile production environment, ensuring artists can focus on creativity while S3 handles the heavy computational lifting.
Achieve unparalleled photo-realism for architectural visualization, product design, and cinematic VFX while drastically cutting rendering time and costs. Unlock up to a 10x speedup in your production workflow, turning long render queues into quick iterations.
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.