9 papers
GSCI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors
Yanming Yang, Chenxi Song, Ping Wang +2
Snapshot Compressive Imaging (SCI) offers an efficient solution for high-speed video acquisition and, under exposure-time camera--scene relative motion, multi-view scene capture by…
Stokes-Informed Diffusion for Robust Linear Polarization Estimation
Yidong Luo, Chenggong Li, Yuchao Feng +3
Polarization cues benefit applications such as material detection and de-reflection, yet acquiring them typically requires dedicated hardware. This motivates us to estimate the lin…
PolarAPP: Beyond Polarization Demosaicking for Polarimetric Applications
Yidong Luo, Chenggong Li, Yunfeng Song +4
Polarimetric imaging enables advanced vision applications such as normal estimation and de-reflection by capturing unique surface-material interactions. However, existing applicati…
HADAR-Based Thermal Infrared Hyperspectral Image Restoration
Cheng Dai, Jiale Lin, Bingxuan Song +4
Thermal-infrared (TIR) hyperspectral imagery (HSI) provides critical scene information for various applications. However, its practical utility is severely limited by unique sensor…
Phy-CoSF: Physics-Guided Continuous Spectral Fields Reconstruction and Super-Resolution for Snapshot Compressive Imaging
Wudi Chen, Zhiyuan Zha, Xin Yuan +6
Recent advances have demonstrated that coded aperture snapshot spectral imaging (CASSI) systems show great potential for capturing 3D hyperspectral images (HSIs) from a single 2D m…
Deep Probabilistic Unfolding for Quantized Compressive Sensing
Gang Qu, Ping Wang, Siming Zheng +1
We propose a deep probabilistic unfolding model to address the classical quantized compressive sensing problem that leverages an unfolding framework to enhance the reconstruction a…