6 papers
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…
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…
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…
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…
Cross360: 360° Monocular Depth Estimation via Cross Projections Across Scales
Kun Huang, Fang-Lue Zhang, Neil Dodgson
360° depth estimation is a challenging research problem due to the difficulty of finding a representation that both preserves global continuity and avoids distortion in spherical i…
Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° Images
Kun Huang, Fang-Lue Zhang, Fangfang Zhang +3
Geometric estimation is required for scene understanding and analysis in panoramic 360° images. Current methods usually predict a single feature, such as depth or surface normal. T…