This record contains data, trained model checkpoints, experiment logs, Hydra configuration files, and reproducibility artifacts associated with the MICCAI paper “HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography.” These files are intended to support the inference and reproducibility workflows provided in the accompanying GitHub repository: https://github.com/AnkitAmrutkar/HoloPointNet If you use these artifacts, please cite the associated MICCAI paper: Amrutkar, A. et al. (2026). HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography. In: Gee, J.C., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2025. MICCAI 2025. Lecture Notes in Computer Science, vol 15970. Springer, Cham. https://doi.org/10.1007/978-3-032-05141-7_26