collaborators

9 papers

cs.CV2026

Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction

Yulun Wu, Ruyi Zha, Wei Cao +3

Sparse-view computed tomography (CT) is critical for reducing radiation exposure to patients. Recent advances in radiative 3D Gaussian Splatting (3DGS) have enabled fast and accura…

eess.IV2026

DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction

Shiyan Su, Ruyi Zha, Danli Shi +2

Neural representations (NRs), such as neural fields and 3D Gaussians, effectively model volumetric data in computed tomography (CT) but suffer from severe artifacts under sparse-vi…

cs.CV2026

Towards Realistic and Consistent Orbital Video Generation via 3D Foundation Priors

Rong Wang, Ruyi Zha, Ziang Cheng +3

We present a novel method for generating geometrically realistic and consistent orbital videos from a single image of an object. Existing video generation works mostly rely on pixe…

eess.IV2026

MoRe-3DGSMR: Motion-resolved reconstruction framework for free-breathing pulmonary MRI based on 3D Gaussian representation

Tengya Peng, Ruyi Zha, Qing Zou

This study presents an unsupervised, motion-resolved reconstruction framework for high-resolution, free-breathing pulmonary magnetic resonance imaging (MRI), utilizing a three-dime…

eess.IV2026

Three-Dimensional MRI Reconstruction with Gaussian Representations: Tackling the Undersampling Problem

Tengya Peng, Ruyi Zha, Zhen Li +2

Three-Dimensional Gaussian Splatting (3DGS) has shown substantial promise in the field of computer vision, but remains unexplored in the field of magnetic resonance imaging (MRI).…

eess.IV2026

X-LRM: X-ray Large Reconstruction Model for Extremely Sparse-View Computed Tomography Recovery in One Second

Guofeng Zhang, Ruyi Zha, Hao He +4

Sparse-view 3D CT reconstruction aims to recover volumetric structures from a limited number of 2D X-ray projections. Existing feedforward methods are constrained by the scarcity o…