A framework for analyzing computer vision models with simulated data
A framework for analyzing computer vision models with simulated data
Neural Factorization of Shape and Reflectance Under an Unknown Illumination
PyTorch implementations for both unpaired and paired image-to-image translation.
ADE20K is composed of more than 27K images from the SUN and Places databases. Images are fully annotated with objects, spanning over 3K object categories. Many of the images also contain object parts, and parts of parts. We also provide the original annotated polygons, as well as object instances for amodal segmentation. Images are also anonymized, blurring faces and license plates.