We present a benchmark for image-based 3D reconstruction. The benchmark sequences were acquired outside the lab, in realistic conditions. Ground-truth data was captured using an industrial laser scanner. The benchmark includes both outdoor scenes and indoor environments. High-resolution video sequences are provided as input, supporting the development of novel pipelines that take advantage of video input to increase reconstruction fidelity. We report the performance of many image-based 3D reconstruction pipelines on the new benchmark. The results point to exciting challenges and opportunities for future work.
Please cite our work if you use data from this site.
@article{Knapitsch2017, author = {Arno Knapitsch and Jaesik Park and Qian-Yi Zhou and Vladlen Koltun}, title = {Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction}, journal = {ACM Transactions on Graphics}, volume = {36}, number = {4}, year = {2017}, }
The input data for all the benchmark sequences is here. A short description of each scene can be found in the paper.
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