3 citations · 4 across the 15 of their papers we have counts for
19 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
While 3D Gaussian Editing (3DGE) has seen substantial progress, text-driven 3D human garment editing remains largely underexplored. Existing 3DGE works typically follow a paradigm…
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…
MTLSI-Net: A Linear Semantic Interaction Network for Parameter-Efficient Multi-Task Dense Prediction
Chen Liu, Hengyu Man, Xiaopeng Fan +1
Multi-task dense prediction aims to perform multiple pixel-level tasks simultaneously. However, capturing global cross-task interactions remains non-trivial due to the quadratic co…
LG-HCC: Local Geometry-Aware Hierarchical Context Compression for 3D Gaussian Splatting
Xuan Deng, Xiandong Meng, Hengyu Man +4
Although 3D Gaussian Splatting (3DGS) enables high-fidelity real-time rendering, its prohibitive storage overhead severely hinders practical deployment. Recent anchor-based 3DGS co…
MRT: Learning Compact Representations with Mixed RWKV-Transformer for Extreme Image Compression
Han Liu, Hengyu Man, Xingtao Wang +2
Recent advances in extreme image compression have revealed that mapping pixel data into highly compact latent representations can significantly improve coding efficiency. However,…
Perceptual Quality Assessment of 3D Gaussian Splatting: A Subjective Dataset and Prediction Metric
Zhaolin Wan, Yining Diao, Jingqi Xu +5
With the rapid advancement of 3D visualization, 3D Gaussian Splatting (3DGS) has emerged as a leading technique for real-time, high-fidelity rendering. While prior research has emp…
Bidirectional Feature-aligned Motion Transformation for Efficient Dynamic Point Cloud Compression
Xuan Deng, Xingtao Wang, Xiandong Meng +4
Efficient dynamic point cloud compression (DPCC) critically depends on accurate motion estimation and compensation. However, the inherently irregular structure and substantial loca…
PVINet: Point-Voxel Interlaced Network for Point Cloud Compression
Xuan Deng, Xingtao Wang, Xiandong Meng +2
In point cloud compression, the quality of a reconstructed point cloud relies on both the global structure and the local context, with existing methods usually processing global an…
T-GVC: Trajectory-Guided Generative Video Coding at Ultra-Low Bitrates
Zhitao Wang, Hengyu Man, Wenrui Li +3
Recent advances in video generation techniques have given rise to an emerging paradigm of generative video coding for Ultra-Low Bitrate (ULB) scenarios by leveraging powerful gener…
FLAM: Foundation Model-Based Body Stabilization for Humanoid Locomotion and Manipulation
Xianqi Zhang, Hongliang Wei, Wenrui Wang +3
Humanoid robots have attracted significant attention in recent years. Reinforcement Learning (RL) is one of the main ways to control the whole body of humanoid robots. RL enables a…
DV-Hop localization based on Distance Estimation using Multinode and Hop Loss in WSNs
Penghong Wang, Xingtao Wang, Wenrui Li +2
Location awareness is a critical issue in wireless sensor network applications. For more accurate location estimation, the two issues should be considered extensively: 1) how to su…
Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling
Wenxue Cui, Xingtao Wang, Xiaopeng Fan +3
Existing image compressed sensing (CS) coding frameworks usually solve an inverse problem based on measurement coding and optimization-based image reconstruction, which still exist…
Probability-based Distance Estimation Model for 3D DV-Hop Localization in WSNs
Penghong Wang, Hao Wang, Wenrui Li +2
Localization is one of the pivotal issues in wireless sensor network applications. In 3D localization studies, most algorithms focus on enhancing the location prediction process, l…
Deep Unfolding Network for Image Compressed Sensing by Content-adaptive Gradient Updating and Deformation-invariant Non-local Modeling
Wenxue Cui, Xiaopeng Fan, Jian Zhang +1
Inspired by certain optimization solvers, the deep unfolding network (DUN) has attracted much attention in recent years for image compressed sensing (CS). However, there still exis…
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection
Yuanze Li, Haolin Wang, Shihao Yuan +6
Due to the training configuration, traditional industrial anomaly detection (IAD) methods have to train a specific model for each deployment scenario, which is insufficient to meet…