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cs.CV2026

KGS-GCN: Kinematics-Driven Gaussian Splatting and Probabilistic Topology for Skeleton-Based Action Recognition

Yuhan Chen, Yicui Shi, Guofa Li +4

Skeleton-based action recognition is widely applied in sensor-based systems, including human-computer interaction and intelligent surveillance. However, typical sensors produce spa…

cs.CV2026

From Sparse and Imperfect 2D Anchors to Consistent 3D Gaussian Street Scenes: Support-Aware Appearance

Long Cao, Zhongquan Wang, Jie Li +4

Image priors can synthesize target conditions for 3D Gaussian street scenes, but independently edited views do not define a coherent 3D target. Direct fitting can propagate view-sp…

cs.CV2026

AIGS-Net: Compact Illumination Field Modeling via 2D Gaussian Splatting for Fast Low-Light Image Enhancement

Yuhan Chen, Kunyang Huang, Fuchen Li +4

Existing low-light image enhancement methods often face a bottleneck between the representation capacity of illumination-field modeling and computational complexity. To address thi…

cs.CV2026

Gaussian Light Field Splatting: A Physical Prior-Driven Vision Transformer for Unsupervised Low-Light Image Enhancement

Yuhan Chen, Wenxuan Yu, Guofa Li +6

Existing unsupervised low-light image enhancement methods often encounter local exposure imbalance and color distortion under complex non-uniform illumination. In addition, most Vi…

cs.CV2026

Fi-Gaussian: Frequency-Aware Implicit Gaussian Splatting for Single Image Dehazing

Yuhan Chen, Ying Fang, Guofa Li +5

Single image dehazing continues to be hindered by the loss of high-frequency details and the difficulty of accurate physical scattering modeling. To address these issues, we propos…

cs.CV2026

Dehaze-GaussianImage: Zero-Shot Dehazing via Efficient 2D Gaussian Splatting Representation

Yuhan Chen, Wenxuan Yu, Guofa Li +5

Existing single image dehazing methods are often constrained by computational redundancy in pixel-level optimization and the lack of physical interpretability in implicit neural ne…