DynFOA: Generating First-Order Ambisonics with Conditional Diffusion for Dynamic and Acoustically Complex 360-Degree Videos.
- DOI
- 10.1109/tvcg.2026.3747482
- Published
- 2026 Oct 27
- Container
- IEEE transactions on visualization and computer graphics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tvcg.2026.3747482,
title = {DynFOA: Generating First-Order Ambisonics with Conditional Diffusion for Dynamic and Acoustically Complex 360-Degree Videos.},
author = {Luo Z and Chen L and Qu Q and Chen X and Shen Y},
year = {2026},
journal = {IEEE transactions on visualization and computer graphics},
doi = {10.1109/tvcg.2026.3747482},
url = {https://doi.org/10.1109/tvcg.2026.3747482}
}RIS
TY - JOUR TI - DynFOA: Generating First-Order Ambisonics with Conditional Diffusion for Dynamic and Acoustically Complex 360-Degree Videos. AU - Luo Z AU - Chen L AU - Qu Q AU - Chen X AU - Shen Y PY - 2026 JO - IEEE transactions on visualization and computer graphics DO - 10.1109/tvcg.2026.3747482 UR - https://doi.org/10.1109/tvcg.2026.3747482 ER -
APA
Z, L., L, C., Q, Q., X, C., & Y, S. (2026). DynFOA: Generating First-Order Ambisonics with Conditional Diffusion for Dynamic and Acoustically Complex 360-Degree Videos.. IEEE transactions on visualization and computer graphics. https://doi.org/10.1109/tvcg.2026.3747482
Source records
- pubmed · retrieved 2026-11-10T12:46:11.926Z