Deep Blending for Free-Viewpoint Image-Based Rendering
ACM Transactions on Graphics (SIGGRAPH Asia Conference Proceedings), Volume 37, Number 6 - November 2018
Images and movies
See also
NEW!!!! Source Code and Datasets
Full source code and datasets are available at https://gitlab.inria.fr/sibr/projects/inside_out_deep_blending.git , as part of the SIBR system. For full documentation see https://sibr.gitlabpages.inria.fr/ .More information
The supplemental material of our paper can be found here . Full dataset data can be found at this link , and network code is here . More information at the project page at UCL.Results Video
Acknowledgements and Funding
This research was financially supported by the Rabin Ezra scholarship fund, NSF CNS-1405847, NERC NE/P019013/1, and the EU H2020 EMOTIVE project (http://www.emotiveproject.eu).We thank Clément Godard for helpful input on network training and different loss functions, Akash Bapat for conversations regarding depthmap and global geometry improvements, and Adrien Bousseau for insightful comments.BibTex references
@Article{HPPFDB18, author = "Hedman, Peter and Philip, Julien and Price, True and Frahm, Jan-Michael and Drettakis, George and Brostow, Gabriel", title = "Deep Blending for Free-Viewpoint Image-Based Rendering", journal = "ACM Transactions on Graphics (SIGGRAPH Asia Conference Proceedings)", number = "6", volume = "37", month = "November", year = "2018", url = "http://www-sop.inria.fr/reves/Basilic/2018/HPPFDB18" }