8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Unsupervised Cross-Domain Regression for Fine-grained 3D Game Character Reconstruction
Qi Wen, Xiang Wen, Hao Jiang +5
With the rise of the ``metaverse'' and the rapid development of games, it has become more and more critical to reconstruct characters in the virtual world faithfully. The immersive…
cs.CV2023★ 8 cited
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
Zhiqing Xiao, Haobo Wang, Ying Jin +4
Unsupervised domain adaptation (UDA) is a pivotal form in machine learning to extend the in-domain model to the distinctive target domains where the data distributions differ. Most…