Ray-ONet: Efficient 3D Reconstruction From A Single RGB Image

Code

• github.com/ActiveVisionLab/ray-onet
  Officialpytorch★ 31

Abstract

We propose Ray-ONet to reconstruct detailed 3D models from monocular images efficiently. By predicting a series of occupancy probabilities along a ray that is back-projected from a pixel in the camera coordinate, our method Ray-ONet improves the reconstruction accuracy in comparison with Occupancy Networks (ONet), while reducing the network inference complexity to O(N^2). As a result, Ray-ONet achieves state-of-the-art performance on the ShapeNet benchmark with more than 20 speed-up at 128^3 resolution and maintains a similar memory footprint during inference.

Tasks

Reproductions