  Modern rendering libraries provide unprecedented realism, producing real-time
photorealistic 3D graphics on commodity hardware. Visual fidelity, however,
comes at the cost of increased complexity and difficulty of usage, with many
rendering parameters requiring a deep understanding of the pipeline. We propose
EasyPBR as an alternative rendering library that strikes a balance between
ease-of-use and visual quality. EasyPBR consists of a deferred renderer that
implements recent state-of-the-art approaches in physically based rendering. It
offers an easy-to-use Python and C++ interface that allows high-quality images
to be created in only a few lines of code or directly through a graphical user
interface. The user can choose between fully controlling the rendering pipeline
or letting EasyPBR automatically infer the best parameters based on the current
scene composition. The EasyPBR library can help the community to more easily
leverage the power of current GPUs to create realistic images. These can then
be used as synthetic data for deep learning or for creating animations for
academic purposes.
