Deep G-PCC Geometry Preprocessing via Joint Optimization With a Differentiable Codec Surrogate for Enhanced Compression Efficiency.
- DOI
- 10.1109/tip.2026.3655187
- Published
- 2026
- Container
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1109/tip.2026.3655187,
title = {Deep G-PCC Geometry Preprocessing via Joint Optimization With a Differentiable Codec Surrogate for Enhanced Compression Efficiency.},
author = {Ma W and Zhang W and Wan S and Yang F},
year = {2026},
journal = {IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
doi = {10.1109/tip.2026.3655187},
url = {https://doi.org/10.1109/tip.2026.3655187}
}RIS
TY - JOUR TI - Deep G-PCC Geometry Preprocessing via Joint Optimization With a Differentiable Codec Surrogate for Enhanced Compression Efficiency. AU - Ma W AU - Zhang W AU - Wan S AU - Yang F PY - 2026 JO - IEEE transactions on image processing : a publication of the IEEE Signal Processing Society DO - 10.1109/tip.2026.3655187 UR - https://doi.org/10.1109/tip.2026.3655187 ER -
APA
W, M., W, Z., S, W., & F, Y. (2026). Deep G-PCC Geometry Preprocessing via Joint Optimization With a Differentiable Codec Surrogate for Enhanced Compression Efficiency.. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. https://doi.org/10.1109/tip.2026.3655187
Source records
- pubmed · retrieved 2026-09-25T18:34:45.312Z
- europe-pmc · retrieved 2026-09-25T18:34:45.295Z