README:

• To download all images (~500GB) at once use the wget command:

  wget -m -np https://www2.cs.sfu.ca/research/groups/Vision/data2/MIST-Dataset/

• You can view the HDR RGB images online using the openhdr viewer: https://viewer.openhdr.org. Otherwise, you can install openexr viewer
• Python has good support for reading the full spectrum EXR image data https://excamera.com/articles/26/doc/index.html
• *If you are looking for pixel-wise SPD*: the dataset contains three models, i.e. bathroom, butterfly, livingroom; each folder (e.g. livingroom) refers to a 3D model and contains six different light settings, each light setting (e.g. livingroom_exr_01) have three sub-folders, i.e. `combined`, `diffuse`, `glossy`. `diffuse` refers to the diffuse component, `glossy` refers to the glossy component, and `combined` is the pixel-wise sum of previous two components(more details in the paper).
• Spectral reflectances are in the `diffuse` folder with naming `_direct.exr`, for example, `livingroom/livingroom_exr_01/diffuse/vp_0_left_diffuse_direct.exr`.
• *If you're looking for RGB images*: checkout the folders with `_rgb` postfix, e.g. `livingroom_rgb`, it contains the scene's depth_normal maps (`depth_normal`), spectral reflectances in RGB (`groundtruth_rgb`) and images with different light settings(e.g. livingroom_rgb/livingroom_exr_01`). The RBG folders have the same directory structure as SPD folders except that every image in the RGB folder can be directly displayed in an EXR viewer.
• Every RGB image is generated from the corresponding SPD image using the 2º-observer color matching functions.
• The code, models and scripts used to generate the images in the data set are available here: https://github.com/XiangpengHao/FullSpecModels and https://github.com/XiangpengHao/FullspecRender