15 citations · 15 across the 10 of their papers we have counts for
13 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…
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…
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…
Progressive Flow-inspired Unfolding for Spectral Compressive Imaging
Xiaodong Wang, Ping Wang, Zijun He +2
Coded aperture snapshot spectral imaging (CASSI) retrieves a 3D hyperspectral image (HSI) from a single 2D compressed measurement, which is a highly challenging reconstruction task…
Spectral Compressive Imaging via Chromaticity-Intensity Decomposition
Xiaodong Wang, Zijun He, Ping Wang +3
In coded aperture snapshot spectral imaging (CASSI), the captured measurement entangles spatial and spectral information, posing a severely ill-posed inverse problem for hyperspect…
Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging
Ping Wang, Lishun Wang, Gang Qu +3
Deep-unrolling and plug-and-play (PnP) approaches have become the de-facto standard solvers for single-pixel imaging (SPI) inverse problem. PnP approaches, a class of iterative alg…
Hierarchical Separable Video Transformer for Snapshot Compressive Imaging
Ping Wang, Yulun Zhang, Lishun Wang +1
Transformers have achieved the state-of-the-art performance on solving the inverse problem of Snapshot Compressive Imaging (SCI) for video, whose ill-posedness is rooted in the mix…
Deep Optics for Video Snapshot Compressive Imaging
Ping Wang, Lishun Wang, Xin Yuan
Video snapshot compressive imaging (SCI) aims to capture a sequence of video frames with only a single shot of a 2D detector, whose backbones rest in optical modulation patterns (a…
Dual-Scale Transformer for Large-Scale Single-Pixel Imaging
Gang Qu, Ping Wang, Xin Yuan
Single-pixel imaging (SPI) is a potential computational imaging technique which produces image by solving an illposed reconstruction problem from few measurements captured by a sin…
SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image
Yunhao Li, Xiaodong Wang, Ping Wang +2
In this paper, we explore the potential of Snapshot Compressive Imaging (SCI) technique for recovering the underlying 3D scene representation from a single temporal compressed imag…