1. Principal warps: Thin-plate splines and the decomposition of deformations;Bookstein;IEEE Transactions on Pattern Analysis and Machine Intelligence,1989
2. Choi, S., Park, S., Lee, M., & Choo, J. (2021). Viton-hd: High-resolution virtual try-on via misalignment-aware normalization. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 14131–14140).
3. Dual-level knowledge distillation via knowledge alignment and correlation;Ding;IEEE Transactions on Neural Networks and Learning Systems,2022
4. Dosovitskiy, A., Fischer, P., Ilg, E., Hausser, P., Hazirbas, C., Golkov, V., et al. (2015). Flownet: Learning optical flow with convolutional networks. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 2758–2766).
5. PG-VTON: A novel image-based virtual try-on method via progressive inference paradigm;Fang;IEEE Transactions on Multimedia,2024