Machine Learning Research
A 3D Mesh From One 2D Image: The combination of video diffusion and Neural Radiance Field (NeRF) can produce a 3D mesh from a single image
Video diffusion provides a new basis for generating 3D models.
Neural Radiance Fields (NeRF)
Machine Learning Research
Novel Views of 3D Scenes — Pronto: Using NeRF Algorithms to Quickly Generate New 3D Views
Given a number of images of the same scene, a neural network can synthesize images from novel vantage points, but it can take hours to train. A new approach cuts training time to a few minutes.
Machine Learning Research
One Network, Many Scenes: Combining NeRF with VAE to generate 3D 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.
Machine Learning Research
3D Scene Synthesis for the Real World: Generating 3D scenes with radiance fields and image data
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
Machine Learning Research
Virtual Reality in Real Time: FastNeRF renders 3D scenes at 200 frames per second.
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.
Machine Learning Research
Seeing People From a New Angle: Neural Body is an AI tool for generating 3D images of people.
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.