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We present both training data and testing data. The testing datasets are organized into two groups: intermediate and advanced. The intermediate group contains sculptures, large vehicles, and house-scale buildings with outside-looking-in camera trajectories. The advanced group contains large indoor scenes imaged from within and large outdoor scenes with complex geometric layouts and camera trajectories.


 

Quick start


For each scene, we provide a high-resolution video. Your task is to reconstruct a 3D model from it. Once you have reconstructed the entire intermediate set or the advanced set, you can submit your results for evaluation and put your name on the leaderboard. For quick start, we provide a uniformly distributed set of frames from each video. They can be used as input to off-the-shelf reconstruction systems such as COLMAP. (See our tutorial page for instructions on how to setup a workable system.)
For advanced users, please download the videos as they are the raw 4K videos captured with a high-end camera. Additionally, for training datasets, ground-truth geometry is provided for training purposes.

For your convenience, we provide a python downloader that can be used to download some or all of the data. We highly recommend using the downloader. It will automatically check MD5 to make sure the downloaded files are complete.

Python Downloader


Usage:

> python download_t2_dataset.py [-h] [-s] [--modality MODALITY] [--group GROUP] [--unpack_off] [--calc_md5_off]

Example 1: download all videos for intermediate and advanced scenes
> python download_t2_dataset.py --modality video --group both

Example 2: download image sets for intermediate scenes (quick start setting)
> python download_t2_dataset.py --modality image --group intermediate

Example 3: show the status of downloaded data
> python download_t2_dataset.py -s


Intermediate


video image set
Family
Francis
Horse
Lighthouse
M60
Panther
Playground
Train
download entire group

Advanced


video image set
Auditorium
Ballroom
Courtroom
Museum
Palace
Temple
download entire group

Training Data


ground truth video image set
Barn
Church
Courthouse
Ignatius
Meetingroom
download entire group

Camera Calibration


We do not explicitly provide the exact camera intrinsics to encourage an individual optimization of it. Some methods however need initial parameters like the focal length and the principal point to run. For this we found a pinhole camera model with the following parameters working well for both camera setups:

Principal point offset: x0 = W/2, y0 = H/2
Focal length: fx = fy = 0.7 * W

With W and H being the width and height of the frames in pixels.


License


This Dataset is made freely available to academic and non-academic entities for non-commercial purposes such as academic research, teaching, scientific publications, or personal experimentation. Permission is granted to use the data given that you agree to our license terms.