Radiance Fields
Unlike traditional polygon-based 3D, Gaussian Splats capture light, color, and transparency at every point in space — producing scenes with unmatched photorealism.
Transform photographs into explorable, photorealistic 3D worlds. Powered by Gaussian Splatting and the World Labs Marble API.
The Technology
3D Gaussian Splatting (3DGS) is a breakthrough rendering technique that represents scenes as millions of tiny, semi-transparent 3D gaussians instead of traditional meshes or voxels. The result? Photorealistic, real-time 3D environments you can explore freely in a web browser — no plugins, no downloads.
Unlike traditional polygon-based 3D, Gaussian Splats capture light, color, and transparency at every point in space — producing scenes with unmatched photorealism.
Gaussian splats render at 60 FPS directly in your browser using WebGL. No CUDA, no GPU server, no app download — just open a link and explore.
Compatible with .ply, .splat, .spx, .spz, and .sog formats. The Reall3D viewer handles LOD rendering, measurements, and watermarks out of the box.
World Generation
Using the World Labs Marble API, we transform your photographs into fully navigable 3D environments — then render them with the Reall3D Gaussian Splat viewer.
Provide a photograph, sketch, or text description. Marble accepts single images, multi-view sets, panoramas, and even short video clips.
The Marble multimodal world model reconstructs depth, lighting, layout, and spatial structure — producing a complete Gaussian Splat environment.
Your world loads instantly in the Reall3D viewer. Navigate freely, zoom in, measure distances — all at 60 FPS with no software to install.
Share an interactive link or export as .spz / .ply for use in Three.js, Unity, Unreal, or any 3D pipeline. Every generation is logged in your dashboard.
For Developers
Embed the Reall3D viewer in any webpage with a few lines of code. Load Gaussian Splats from a URL or generate them via the Marble API.
Ready?
Sign in with Google and generate a photorealistic, navigable 3D environment from a single image — in under five minutes.
Start Generating