113 citations · 117 across the 15 of their papers we have counts for
15 papers
XPos3R: Cross-Modal Transformer for Intraoperative 2D/3D Registration
Shiyan Su, Ruyi Zha, Hongdong Li +2
Intraoperative 2D/3D registration, which aligns live X-ray images with preoperative volumes, is essential for image-guided interventions. Previous regression-based methods suffer f…
AnimalLift: Reconstructing Animatable 3D Animals from a Single Image by Learning Canonical Shape, Texture, and Fur Maps
Chunyi Sun, Ruyi Zha, Weijian Deng +3
Reconstructing a fully animatable 3D animal from a single image remains challenging because animation-ready assets require not only plausible geometry, but also a unified topology,…
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…
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…
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…
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…
IXGS-Intraoperative 3D Reconstruction from Sparse, Arbitrarily Posed Real X-rays
Sascha Jecklin, Aidana Massalimova, Ruyi Zha +4
Spine surgery is a high-risk intervention demanding precise execution, often supported by image-based navigation systems. Recently, supervised learning approaches have gained atten…
X-Gaussian: 4D Radiative Gaussian Splatting for Continuous-time Tomographic Reconstruction
Weihao Yu, Yuanhao Cai, Ruyi Zha +3
Four-dimensional computed tomography (4D CT) reconstruction is crucial for capturing dynamic anatomical changes but faces inherent limitations from conventional phase-binning workf…
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…
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).…
4DRGS: 4D Radiative Gaussian Splatting for Efficient 3D Vessel Reconstruction from Sparse-View Dynamic DSA Images
Zhentao Liu, Ruyi Zha, Huangxuan Zhao +2
Reconstructing 3D vessel structures from sparse-view dynamic digital subtraction angiography (DSA) images enables accurate medical assessment while reducing radiation exposure. Exi…
R-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction
Ruyi Zha, Tao Jun Lin, Yuanhao Cai +3
3D Gaussian splatting (3DGS) has shown promising results in image rendering and surface reconstruction. However, its potential in volumetric reconstruction tasks, such as X-ray com…
EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos
Ruyi Zha, Xuelian Cheng, Hongdong Li +2
Reconstructing soft tissues from stereo endoscope videos is an essential prerequisite for many medical applications. Previous methods struggle to produce high-quality geometry and…
NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction
Ruyi Zha, Yanhao Zhang, Hongdong Li
This paper proposes a novel and fast self-supervised solution for sparse-view CBCT reconstruction (Cone Beam Computed Tomography) that requires no external training data. Specifica…
PlueckerNet: Learn to Register 3D Line Reconstructions
Liu Liu, Hongdong Li, Haodong Yao +1
Aligning two partially-overlapped 3D line reconstructions in Euclidean space is challenging, as we need to simultaneously solve correspondences and relative pose between line recon…