Neural Radiance Fields, or NeRFs, are a relatively new type of 3D model that can be generated from a set of 2D images for a scene. The technology works by using machine learning algorithms to analyze the images and create a 3D representation of it. This allows for incredibly detailed and realistic reconstructions of real-world scenes, capturing everything from the intricate details of buildings to the lush foliage of trees, including view-dependent effects. But that’s not all - once trained, NeRFs can be used for novel view synthesis, allowing us to render a video from any angle and camera trajectory. This means that it is possible for us to navigate around in the 3D model as if we were actually there, giving us a completely new way to experience and explore the world. Whether you’re interested in exploring new places or just want to see your local neighborhood in a whole new light, our NeRF reconstructions are a powerful tool for mapping enthusiasts everywhere.
NeRF 360 on Mapillary: Swiss National Museum
You can read the full announcement on the Mapillary blog and visit the map on Mapillary to see them all!
You can also get involved and capture your own places to populate our maps with even more amazing NeRF reconstructions. We have instructions available on how to capture the data in the best possible way. Let us know what you think and we are looking forward to seeing NeRF captures from the community!
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