Buckets:
Example data sources
The project code license does not replace these datasets' original terms. The bundled samples contain RGB images and, for the calibrated examples, camera matrices. They contain no depth maps, meshes, labels, or training metadata.
Hypersim
The hypersim_provided and hypersim_da3_pose samples come from the public
Hypersim dataset, scenes
ai_004_009 and ai_006_001, respectively, camera trajectory cam_00.
Hypersim data is licensed under
Creative Commons Attribution-ShareAlike 3.0.
The images are tone-mapped RGB derivatives, re-encoded without embedded metadata.
Their resolution and pixel values are preserved from the project-page input files.
The supplied camera arrays use OpenCV camera-to-world coordinates and pixel
intrinsics matching the image files. Frame identities are in
data/manifest.json.
Please cite Mike Roberts et al., Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding, ICCV 2021.
DTU
The dtu_provided sample comes from scan 24 of the
DTU MVS dataset.
These are rectified, resized/cropped RGB images in the common MVSNet data format
(640 × 512), as used in the project-page case. Supplied pixel intrinsics match
these processed files. PNG metadata has been removed without changing pixels.
DTU data remains subject to the original dataset terms, independently of the
InfiniSplat project license. The dataset page describes the data as freely
available and requests citation of its accompanying paper.
Please cite Rasmus Jensen, Anders Dahl, George Vogiatzis, Engin Tola, and Henrik Aanæs, Large Scale Multi-view Stereopsis Evaluation, CVPR 2014.
Xet Storage Details
- Size:
- 1.84 kB
- Xet hash:
- c4e45265a3deeb931faed5e1a49aaebc3e6f42c2dfd0438330d8023cd649fcda
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.