2 papers
cs.CV2026
Learning Subspace-Preserving Sparse Attention Graphs from Heterogeneous Multiview Data
Jie Chen, Yuanbiao Gou, Chuanbin Liu +2
The high-dimensional features extracted from large-scale unlabeled data via various pretrained models with diverse architectures are referred to as heterogeneous multiview data. Mo…
cs.CV2026
TOPOS: High-Fidelity and Efficient Industry-Grade 3D Head Generation
Bojun Xiong, Zoubin Bi, Xinghui Peng +6
High-fidelity 3D head generation plays a crucial role in the film, animation and video game industries. In industrial pipelines, studios typically enforce a fixed reference topolog…