1 citations · 3 across the 4 of their papers we have counts for
4 papers
Efficient EndoNeRF Reconstruction and Its Application for Data-driven Surgical Simulation
Yuehao Wang, Bingchen Gong, Yonghao Long +2
The healthcare industry has a growing need for realistic modeling and efficient simulation of surgical scenes. With effective models of deformable surgical scenes, clinicians are a…
SeamlessNeRF: Stitching Part NeRFs with Gradient Propagation
Bingchen Gong, Yuehao Wang, Xiaoguang Han +1
Neural Radiance Fields (NeRFs) have emerged as promising digital mediums of 3D objects and scenes, sparking a surge in research to extend the editing capabilities in this domain. T…
Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues
Chen Yang, Kailing Wang, Yuehao Wang +2
Reconstructing deformable tissues from endoscopic stereo videos in robotic surgery is crucial for various clinical applications. However, existing methods relying only on implicit…
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
Yuehao Wang, Yonghao Long, Siu Hin Fan +1
Reconstruction of the soft tissues in robotic surgery from endoscopic stereo videos is important for many applications such as intra-operative navigation and image-guided robotic s…