In this work, we introduce SMERF, a view synthesis approach that achieves state-of-the-art accuracy among real-time methods on large scenes with footprints up to 300 m^2 at a …

This repository contains code for SMERF, a real-time approach for radiance fields of large indoor & outdoor spaces. See the project website for more details.

Dec 14, 2023 · MERF (Memory-Efficient Radiance Fields), which can create three-dimensional images from images and videos, to achieve centimeter-level accuracy. Google's developer team has announced a...

Dec 19, 2023 · - Google's new 3D AI model, Smerf, is transforming virtual imaging with high-quality rendering on smartphones and laptops, featuring advanced technologies like hierarchical structure...

Now, they're back with another groundbreaking method: Streamable Memory Efficient Radiance Fields, or SMERF. In a nutshell, SMERF achieves Zip-NeRF quality NeRFs, operating at a remarkable 60fps on everyday devices like smartphones and laptops. The evolution from MERF to SMERF is striking.

We present SMERF, a streamable, memory-efficent radiance field representation for real-time view-synthesis of large scenes. Our method renders in real-time in the web browser on everyday, resource-constrained consumer devices including smartphones and laptops.

Dec 22, 2023 · SMERF is an acronym for “Streamable Memory Efficient Radiance Fields: for Real-Time Large-Scene Exploration. Hold on, what’s that all about? It deals with the emerging science of radiance fields in 3D capture.

We introduce SMERF, a view synthesis approach that achieves state-of-the-art accuracy among real-time methods on large scenes with footprints up to 300 m 2 at a volumetric resolution of 3.5 mm 3.

But recently a team led by researchers at Google DeepMind has released what they call Streamable Memory Efficient Radiance Fields (SMERF). The techniques that they described …

Jan 3, 2024 · Discover how SMERF, Google's Streamable Memory Efficient Radiance Fields, transforms mapping technology with revolutionary real-time exploration of large scenes.