5 citations · 6 across the 4 of their papers we have counts for
4 papers
Angio-Diff: Learning a Self-Supervised Adversarial Diffusion Model for Angiographic Geometry Generation
Zhifeng Wang, Renjiao Yi, Xin Wen +3
Vascular diseases pose a significant threat to human health, with X-ray angiography established as the gold standard for diagnosis, allowing for detailed observation of blood vesse…
VasTSD: Learning 3D Vascular Tree-state Space Diffusion Model for Angiography Synthesis
Zhifeng Wang, Renjiao Yi, Xin Wen +2
Angiography imaging is a medical imaging technique that enhances the visibility of blood vessels within the body by using contrast agents. Angiographic images can effectively assis…
CAD-NeRF: Learning NeRFs from Uncalibrated Few-view Images by CAD Model Retrieval
Xin Wen, Xuening Zhu, Renjiao Yi +3
Reconstructing from multi-view images is a longstanding problem in 3D vision, where neural radiance fields (NeRFs) have shown great potential and get realistic rendered images of n…
Relighting Scenes with Object Insertions in Neural Radiance Fields
Xuening Zhu, Renjiao Yi, Xin Wen +2
The insertion of objects into a scene and relighting are commonly utilized applications in augmented reality (AR). Previous methods focused on inserting virtual objects using CAD m…