Neural Radiance Fields (NeRF)

4 Posts

Series of images showing how single trained network generates 3D reconstructions of multiple scenes
Neural Radiance Fields (NeRF)

One Network, Many Scenes

To reconstruct the 3D world behind a set of 2D images, machine learning systems usually require a dedicated neural network for each scene. New research enables a single trained network to generate 3D reconstructions of multiple scenes.
2 min read
Neural networks generating novel views of a 3D scene based on existing pictures
Neural Radiance Fields (NeRF)

3D Scene Synthesis for the Real World

Researchers have used neural networks to generate novel views of a 3D scene based on existing pictures plus the positions and angles of the cameras that took them. In practice, though, you may not know the precise camera
2 min read
FastNeRF accelerates the photorealistic 3D rendering method
Neural Radiance Fields (NeRF)

Virtual Reality in Real Time

Ideally, real-time 3D applications such as virtual and augmented reality transition smoothly between different viewpoints of a scene — but generating a fresh perspective can take time. New research speeds the process.
2 min read
Neural Body, a procedure that generates novel views of a single human character, working
Neural Radiance Fields (NeRF)

Seeing People From a New Angle

The University of Hong Kong, and Cornell University to create Neural Body, a procedure that generates novel views of a single human character based on shots from only a few angles.
2 min read

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