NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes

This repository is the pytorch implementation of our paper:

NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
International Conference on Computer Vision (ICCV), 2023

[Project Page] [arXiv] [PDF] [Video]

Code Coming Soon!

📊 Dataset

NERDS 360 Multi-View dataset for Outdoor Scenes

NeRDS 360: "NeRF for Reconstruction, Decomposition and Scene Synthesis of 360° outdoor scenes” dataset comprising 75 unbounded scenes with full multi-view annotations and diverse scenes for generalizable NeRF training and evaluation.

Download the dataset:

NERDS360 Training Set - 75 Scenes (19.5 GB)
NERDS360 Test Set - 5 Scenes (2.1 GB)

Visualizing the dataset (Coming Soon):

We will release our visualization scripts to generate visualizations like below i.e. plot accumulated pointclouds, multi-view camera annotations etc.

Citation

If you find this repository or our NERDS 360 dataset useful, please consider citing:

@inproceedings{irshad2023neo360,
  title={NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes},
  author={Muhammad Zubair Irshad and Sergey Zakharov and Katherine Liu and Vitor Guizilini and Thomas Kollar and Adrien Gaidon and Zsolt Kira and Rares Ambrus},
  journal={Interntaional Conference on Computer Vision (ICCV)},
  year={2023},
  url={https://arxiv.org/abs/2308.12967},
}

image image