PASMVS: a dataset for multi-view stereopsis training and reconstruction applications

A large collection of high precision synthetic, path-traced renderings for use in multi-view stereopsis and 3D reconstruction applications. The material properties are primarily highly specular (reflective metals). Ground truth depth maps, model geometry, object masks and camera extrinsic and intrinsic data is provided together with the rendered images. A total of 18,000 samples are provided (45 camera views for 400 scenes), varying the illumination using five, high-definition HDR environment textures, four models (teapot, bunny, armadillo and dragon), ten material properties (bricks, brushed metal, ceramic, checkerboard, concrete, copper, grunge metal, marble, piano/ivory, and steel) and two camera focal lengths (35 mm and 50 mm).

File descriptions:
+ PASMVS.blend - Blender file (developed using Blender version 2.8.1) used to generate the dataset. The Blender file packs only one of the HDR environmental textures to use as an example.
+ PASMVS_sample.jpg - a visual collage of 8 scenes, illustrating the variability introduced by using different models, illumination, material properties and camera focal lengths.
+ PASMVS_576p.tar.xz - The full PASMVS dataset containing all 400 scenes (768x576 pixel resolution). Note that tar.xz archive used due to file size limitations (7.8 Gb); uncompressed the total file size is approximately 35 Gb. The "index.csv" in the root folder provides a summary for all 18,000 scenes, specifying the corresponding file names alongside the the subfolder.
+ PFMdemo.zip - Python example source code for loading ground truth depth map (PFM file format) as a numpy array.
+ modelSTL - Stereolithography (STL) file for the models used in the dataset.
+ sample_armadillo1bricks50mm.zip - A single PASMVS scene sample for easy viewing and download.