activity
20182022
most citedSNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields

11 citations · 20 across the 4 of their papers we have counts for

collaborators

6 papers

eess.IV202211 cited

SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields

Yu Fang, Lanzhuju Mei, Changjian Li +4

Cone beam computed tomography (CBCT) has been widely used in clinical practice, especially in dental clinics, while the radiation dose of X-rays when capturing has been a long conc…

cs.CV20222 cited

ToothInpaintor: Tooth Inpainting from Partial 3D Dental Model and 2D Panoramic Image

Yuezhi Yang, Zhiming Cui, Changjian Li +1

In orthodontic treatment, a full tooth model consisting of both the crown and root is indispensable in making the treatment plan. However, acquiring tooth root information to obtai…

cs.CV20203 cited

Point2Skeleton: Learning Skeletal Representations from Point Clouds

Cheng Lin, Changjian Li, Yuan Liu +3

We introduce Point2Skeleton, an unsupervised method to learn skeletal representations from point clouds. Existing skeletonization methods are limited to tubular shapes and the stri…

cs.GR2020

SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform

Cheng Lin, Lingjie Liu, Changjian Li +4

Segmenting arbitrary 3D objects into constituent parts that are structurally meaningful is a fundamental problem encountered in a wide range of computer graphics applications. Exis…

cs.GR20204 cited

Sketch2CAD: Sequential CAD Modeling by Sketching in Context

Changjian Li, Hao Pan, Adrien Bousseau +1

We present a sketch-based CAD modeling system, where users create objects incrementally by sketching the desired shape edits, which our system automatically translates to CAD opera…

cs.CV2018

Floorplan-Jigsaw: Jointly Estimating Scene Layout and Aligning Partial Scans

Cheng Lin, Changjian Li, Wenping Wang

We present a novel approach to align partial 3D reconstructions which may not have substantial overlap. Using floorplan priors, our method jointly predicts a room layout and estima…