ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields

no code implementations • 19 Dec 2023 • Xiang Feng, Yongbo He, YuBo Wang, Chengkai Wang, Zhenzhong Kuang, Jiajun Ding, Feiwei Qin, Jun Yu, Jianping Fan

This framework aims to guide the NeRF model to synthesize high-resolution novel views via single-scene internal learning rather than requiring any external high-resolution training data.

Inverse Rendering Super-Resolution

FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image

no code implementations • 11 Nov 2023 • Xiang Feng, Chengkai Wang, Chengyu Wu, Yunxiang Li, Yongbo He, Shuai Wang, Yaiqi Wang

Precise Tooth Cone Beam Computed Tomography (CBCT) image segmentation is crucial for orthodontic treatment planning.

Image Segmentation Segmentation +1