no code implementations • ECCV 2020 • Vladimir V. Kniaz, Vladimir A. Knyaz, Fabio Remondino, Artem Bordodymov, Petr Moshkantsev
We collected a SemanticVoxels dataset with 116k images, ground-truth semantic voxel models, depth maps, and 6D object poses.
no code implementations • 1 Oct 2023 • Ningli Xu, Rongjun Qin, Debao Huang, Fabio Remondino
Neural Radiance Fields (NeRF) offer the potential to benefit 3D reconstruction tasks, including aerial photogrammetry.
no code implementations • 9 Jun 2023 • Ali Karami, Simone Rigon, Gabriele Mazzacca, Ziyang Yan, Fabio Remondino
This paper introduces a new real and synthetic dataset called NeRFBK specifically designed for testing and comparing NeRF-based 3D reconstruction algorithms.
1 code implementation • ISPRS Journal of Photogrammetry and Remote Sensing 2023 • Davide Marelli, Luca Morelli, Elisa Mariarosaria Farella, Simone Bianco, Gianluigi Ciocca, Fabio Remondino
The availability of high-resolution data and accurate ground truth is essential to evaluate and compare methods and algorithms properly.
no code implementations • 5 Jul 2020 • Elisavet Konstantina Stathopoulou, Fabio Remondino
Patch-based stereo is nowadays a commonly used image-based technique for dense 3D reconstruction in large scale multi-view applications.
1 code implementation • NeurIPS 2019 • Vladimir V. Kniaz, Vladimir Knyaz, Fabio Remondino
We collected large-scale manipulated image dataset to train our model.