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20242026
most citedDeep Optics for Video Snapshot Compressive Imaging

15 citations · 15 across the 10 of their papers we have counts for

collaborators

13 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

eess.IV2025

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…

cs.CV2024

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…

cs.CV2024★ 15 cited

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…

cs.CV2024

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…

eess.IV2024

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…