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Deep Learning-Driven Microstructure Characterization and Vickers Hardness Prediction of Mg-Gd Alloys
Lu Wang, Hongchan Chen, Bing Wang +3
In the field of materials science, exploring the relationship between composition, microstructure, and properties has long been a critical research focus. The mechanical performanc…
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…