DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields

CVPR 2024, 2024

A large-scale dynamic visual dataset of 360° immersive multi-view recordings, designed to benchmark neural field methods for dynamic scene reconstruction and novel view synthesis, presented at CVPR 2024.

PDF All Publications

Abstract

DiVa-360 presents a comprehensive dynamic visual dataset designed for immersive neural fields. This dataset enables advanced research in neural rendering and immersive visualization technologies.

Download paper here

Recommended citation:

@inproceedings{lu2024diva360,
  title={DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields},
  author={Lu, Cheng-You and others},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2024}
}

Citation

Lu, Cheng-You, et al. "DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024.