27 citations · 29 across the 9 of their papers we have counts for
6 papers · 1 filter
FRPSS: Feature Rearrangement in Pre-Shape Space for Single-Image Generation
Yuexing Han, Haoxuan Zhang, Bing Wang
Generative models trained on a single image often struggle to balance global structural integrity and local diversity. Existing single-image generation methods commonly rely on ran…
FAAGC: Feature Augmentation on Adaptive Geodesic Curve Based on the shape space theory
Yuexing Han, Ruijie Li
Deep learning models have been widely applied across various domains and industries. However, many fields still face challenges due to limited and insufficient data. This paper pro…
FAGStyle: Feature Augmentation on Geodesic Surface for Zero-shot Text-guided Diffusion Image Style Transfer
Yuexing Han, Liheng Ruan, Bing Wang
The goal of image style transfer is to render an image guided by a style reference while maintaining the original content. Existing image-guided methods rely on specific style refe…
Revealing the structure-property relationships of copper alloys with FAGC
Yuexing Han, Ruijie Li, Guanxin Wan +3
Cu-Cr-Zr alloys play a crucial role in electronic devices and the electric power industry, where their electrical conductivity and hardness are of great importance. However, due to…
Few-shot Image Generation via Information Transfer from the Built Geodesic Surface
Yuexing Han, Liheng Ruan, Bing Wang
Images generated by most of generative models trained with limited data often exhibit deficiencies in either fidelity, diversity, or both. One effective solution to address the lim…
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
Yuexing Han, Gan Hu, Guanxin Wan +1
Due to the constraints on model performance imposed by the size of the training data, data augmentation has become an essential technique in deep learning. However, most existing d…