PoinTr converts point clouds into sequences of point proxies with positional embeddings and uses a transformer encoder-decoder architecture to generate complete 3D shapes. The work also introduces more challenging benchmarks (ShapeNet-55/34) for point cloud completion research. The repository contains PyTorch implementations of PoinTr and its follow-up variant AdaPoinTr.