Software & Data Downloads — ranf-hrtf
Retrieval-Augmented Neural Field for HRTF Upsampling and Personalization for training and evaluating models related to Retrieval-Augmented Neural Field (RANF) for HRTF upsampling and personalization.
PyTorch implementation for training and evaluating models related to Retrieval-Augmented Neural Field (RANF) for HRTF upsampling and personalization. The model will be trained and evaluated on the SONICOM dataset.
-
MERL Contacts
-
Related Publications
- , "Retrieval-Augmented Neural Field for HRTF Upsampling and Personalization", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP49660.2025.10889481, April 2025.
BibTeX TR2025-029 PDF Software- @inproceedings{Masuyama2025mar,
- author = {{{Masuyama, Yoshiki and Wichern, Gordon and Germain, François G and Ick, Christopher and Le Roux, Jonathan}}},
- title = {{{Retrieval-Augmented Neural Field for HRTF Upsampling and Personalization}}},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2025,
- month = apr,
- doi = {10.1109/ICASSP49660.2025.10889481},
- url = {https://www.merl.com/publications/TR2025-029}
- }
- , "RANF: Neural Field-Based HRTF Spatial Upsampling with Retrieval Augmentation and Parameter Efficient Fine-Tuning", IEEE Open Journal of Signal Processing, December 2025.
BibTeX TR2026-007 PDF Software- @article{Masuyama2025dec,
- author = {Masuyama, Yoshiki and Wichern, Gordon and Germain, François G and Ick, Christopher and {Le Roux}, Jonathan},
- title = {{RANF: Neural Field-Based HRTF Spatial Upsampling with Retrieval Augmentation and Parameter Efficient Fine-Tuning}},
- journal = {IEEE Open Journal of Signal Processing},
- year = 2025,
- month = dec,
- url = {https://www.merl.com/publications/TR2026-007}
- }
- , "Retrieval-Augmented Neural Field for HRTF Upsampling and Personalization", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP49660.2025.10889481, April 2025.
Software & Data Downloads
Access software at https://github.com/merlresearch/ranf-hrtf.


