Latest papers

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PROTIP: You can use sshleifer/distilbart-cnn-12-6 and SciTLDR to help with summarizing papers.

This page serves to collect notable research papers within the past two years related to robotics and artificial intelligence. Feel free to add new papers to the list and discuss any papers on the talk page.

Recent papers

August 2021

Computer vision

NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis

tl;dr Multi-view stereo is a core task in 3D computer vision. NeRF methods do not generalize to novel scenes and are slow to train and test. We propose to bridge the gap between these two methodologies with a novel network that can recover 3D scene geometry as a distance function.[1]

October 2020

Computer vision

GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering

tl;dr General Radiance Fields construct an internal representation for each 3D point of a scene from 2D inputs and renders the corresponding appearance and geometry of any 3D scene viewing from an arbitrary angle.[2]

Older papers

References

  1. Radu Alexandru Rosu, Sven Behnke. NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis. arXiv:2108.03880, 2021.
  2. Alex Trevithick, Bo Yang. GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering. arXiv:2010.04595, 2020.