From the 1 of 15 linked papers with an AI index.
15 papers
CLEAR: Conflict-aware Learning via Evidence-guided Adaptive Routing for Unified Sparse-View 3D Gaussian Super-Resolution
Hantang Li, Qiang Zhu, Xiandong Meng +2
Sparse-view 3D Gaussian Splatting Super-resolution is highly challenging since the sparse and low-resolution (LR) inputs lack sufficient geometric and high-frequency information fo…
T3HG-Editor: Text-driven 3D Human Garment Editing with Body Priors Embedded in SMPL-X
Shaoru Sun, Xingtao Wang, Zihan Ma +4
The paper introduces T3HG-Editor, a text-driven system for editing 3D human garments that leverages SMPL-X body priors to achieve high-fidelity and consistent results using Gaussia…
Beyond Single Solution: Multi-Hypothesis Collaborative Deep Unfolding Network for Image Compressive Sensing
Wenxue Cui, Hualin Li, Yuhang Qin +3
Recent deep unfolding networks (DUNs) have advanced Compressive Sensing (CS) by effectively integrating iterative optimization with deep learning architectures. However, most CS ap…
PairDropGS: Paired Dropout-Induced Consistency Regularization for Sparse-View Gaussian Splatting
Hantang Li, Qiang Zhu, Xiandong Meng +3
Dropout-based sparse-view 3D Gaussian Splatting (3DGS) methods alleviate overfitting by randomly suppressing Gaussian primitives during training. Existing methods mainly focus on d…
NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results
Shuhong Liu, Chenyu Bao, Ziteng Cui +103
This paper presents a comprehensive review of the NTIRE 2026 3D Restoration and Reconstruction (3DRR) Challenge, detailing the proposed methods and results. The challenge seeks to…
DOC-GS: Dual-Domain Observation and Calibration for Reliable Sparse-View Gaussian Splatting
Hantang Li, Qiang Zhu, Xiandong Meng +2
Sparse-view reconstruction with 3D Gaussian Splatting (3DGS) is fundamentally ill-posed due to insufficient geometric supervision, often leading to severe overfitting and the emerg…