APA (7th ed.) Citation

Lin, C., Zou, C., & Xu, H. (2025). SCNet: A Dual‐Branch Network for Strong Noisy Image Denoising Based on Swin Transformer and ConvNeXt. Computer animation and virtual worlds, 36(3), -n/a. https://doi.org/10.1002/cav.70030

Chicago Style (17th ed.) Citation

Lin, Chuchao, Changjun Zou, and Hangbin Xu. "SCNet: A Dual‐Branch Network for Strong Noisy Image Denoising Based on Swin Transformer and ConvNeXt." Computer Animation and Virtual Worlds 36, no. 3 (2025): -n/a. https://doi.org/10.1002/cav.70030.

MLA (9th ed.) Citation

Lin, Chuchao, et al. "SCNet: A Dual‐Branch Network for Strong Noisy Image Denoising Based on Swin Transformer and ConvNeXt." Computer Animation and Virtual Worlds, vol. 36, no. 3, 2025, pp. -n/a, https://doi.org/10.1002/cav.70030.