Mask3D is a deep neural network model that performs 3D instance segmentation by predicting accurate semantic instances in point cloud data. It uses a transformer-based architecture and achieves state-of-the-art results on ScanNet, ScanNet200, S3DIS, and STPLS3D benchmarks. The model is implemented in PyTorch.