Mask Transfiner is a PyTorch implementation of a high-quality instance segmentation system published at CVPR 2022. The method uses an efficient transformer architecture with quadtree-based predictions to generate precise instance masks with fine boundaries. Built on top of the detectron2 framework, it demonstrates improved mask and boundary AP on benchmarks including COCO, Cityscapes, and BDD100k compared to standard approaches.