Models for image modification tasks were trained and evaluated on the DIV2K dataset.
Models for tone mapping were implemented based on the Learning a self-supervised tone mapping operator via feature contrast masking loss paper on the sihdr dataset.
Models for image generation were trained on the MedMNIST dataset.
Models for neural rendering were trained based on images created using a custom 3D renderer.
Models for animation frame interpolation were trained on AnimeInterp dataset.