3 papers
cs.CV2026
Hierarchical Flow Matching for 3D Point Cloud Generation
Linhao Wang, Qichang Zhang, Ye Su +1
Generating high-quality 3D point clouds requires capturing both global shape topology and local geometric details. Existing flow-based methods rely on continuous normalizing flows…
cs.CV2026
VICR: Visual In-Context Restoration for Real-World Image Super-Resolution
Qichang Zhang, Hailong Wang, Baiang Li +4
Real-world image super-resolution (Real-ISR) requires balancing structural fidelity to degraded observations with realistic detail synthesis. However, existing generative Real-ISR…
eess.SP2025
EAGLE: Contextual Point Cloud Generation via Adaptive Continuous Normalizing Flow with Self-Attention
Linhao Wang, Qichang Zhang, Yifan Yang +2
As 3D point clouds become the prevailing shape representation in computer vision, generating high-quality point clouds remains a challenging problem. Flow-based models have shown s…