activity
20232026
most citedR-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction

3 citations · 14 across the 10 of their papers we have counts for

collaborators

11 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…

cs.CV2025

OmniVCus: Feedforward Subject-driven Video Customization with Multimodal Control Conditions

Yuanhao Cai, He Zhang, Xi Chen +11

Existing feedforward subject-driven video customization methods mainly study single-subject scenarios due to the difficulty of constructing multi-subject training data pairs. Anoth…

eess.IV2025

Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?

Tianyu Lin, Xinran Li, Chuntung Zhuang +5

Widely adopted evaluation metrics for sparse-view CT reconstruction--such as Structural Similarity Index Measure and Peak Signal-to-Noise Ratio--prioritize pixel-wise fidelity but…

eess.IV2025★ 1 cited

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…

cs.CV2024

Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction

Yuanhao Cai, He Zhang, Kai Zhang +12

Existing feedforward image-to-3D methods mainly rely on 2D multi-view diffusion models that cannot guarantee 3D consistency. These methods easily collapse when changing the prompt…

cs.CV2024

LucidFusion: Reconstructing 3D Gaussians with Arbitrary Unposed Images

Hao He, Yixun Liang, Luozhou Wang +5

Recent large reconstruction models have made notable progress in generating high-quality 3D objects from single images. However, current reconstruction methods often rely on explic…

eess.IV2024★ 3 cited

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…

cs.CV2024★ 2 cited

HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting

Yuanhao Cai, Zihao Xiao, Yixun Liang +5

High dynamic range (HDR) novel view synthesis (NVS) aims to create photorealistic images from novel viewpoints using HDR imaging techniques. The rendered HDR images capture a wider…

cs.CV2024★ 3 cited

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results

Xiaoning Liu, Zongwei Wu, Ao Li +109

This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective netw…

eess.IV2024★ 3 cited

Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis

Yuanhao Cai, Yixun Liang, Jiahao Wang +5

X-ray is widely applied for transmission imaging due to its stronger penetration than natural light. When rendering novel view X-ray projections, existing methods mainly based on N…

eess.IV2023★ 2 cited

Structure-Aware Sparse-View X-ray 3D Reconstruction

Yuanhao Cai, Jiahao Wang, Alan Yuille +2

X-ray, known for its ability to reveal internal structures of objects, is expected to provide richer information for 3D reconstruction than visible light. Yet, existing neural radi…