Zero-shot cross-domain image composition via self attention injection.
- DOI
- 10.1016/j.neunet.2026.109412
- Published
- 2027 Jan
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109412,
title = {Zero-shot cross-domain image composition via self attention injection.},
author = {Chen X and Si Q and Wang B and Zhang Z and Ye X and Yang Y and Zhang H},
year = {2027},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109412},
url = {https://doi.org/10.1016/j.neunet.2026.109412}
}RIS
TY - JOUR TI - Zero-shot cross-domain image composition via self attention injection. AU - Chen X AU - Si Q AU - Wang B AU - Zhang Z AU - Ye X AU - Yang Y AU - Zhang H PY - 2027 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109412 UR - https://doi.org/10.1016/j.neunet.2026.109412 ER -
APA
X, C., Q, S., B, W., Z, Z., X, Y., Y, Y., & H, Z. (2027). Zero-shot cross-domain image composition via self attention injection.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109412
Source records
- pubmed · retrieved 2026-09-25T21:28:19.872Z