Polarimetric Imaging

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2 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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PolarScale: A Physics-Grounded Benchmark for Radiometrically Consistent RGB-to-Stokes Estimation
Oct 6, 2026Beibei Lin, Tingting Chen, Xin Zhang +3Polarimetric Imaging
National University of Singapore · University of Michigan, Ann Arbor
LG-PF: Lightweight Confidence-Guided Polarization Image Fusion
Sep 14, 2026Zhuangfan Huang, Zhenyu Kuang, Gao Wang +3Multimodal Fusion Polarimetric Imaging
Guangdong-HongKong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology, School of Physics and Optoelectronic Engineering, Foshan University, Foshan 528225, China · School of Electronic and Information Engineering, Foshan University, Foshan 528225, China. · State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
DensePol: Dense-Angle Polarization Dataset for Learning-Based Polarimetric Vision
Sep 8, 2026Param Sangani, Ahmad Moori, Erik Blasch +2Polarimetric Imaging
Department of Computer Science, Saint Louis University, St. Louis, MO, USA · MOVEJ Analytics, Fairborn, OH, USA · U.S. Naval Research Laboratory, Washington, DC, USA
IRPol-Fuse: Energy-structure coordination for infrared polarization fusion under low visibility
Aug 8, 2026Zhuangfan Huang, Chusheng Fang, Xiaosong Li +3Thermal Imaging Multimodal Fusion
Guangdong-HongKong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology, School of Physics and Optoelectronic Engineering, Foshan University, Foshan 528225, China · Guangdong Provincial Key Laboratory of Industrial Intelligent Inspection Technology, Foshan University, Foshan 528225, China
Quaternion Tensor Modeling for Joint Color-Polarization Demosaicking
Aug 3, 2026Yanqing Song, Jifei Miao, Chaoqian Li +3Image Reconstruction Computational Imaging
School of Mathematics and Statistics, Yunnan University, Kunming, Yunnan, 650091, China · Department of Mathematics, Faculty of Science and Technology, University of Macau, Macau 999078, China · School of Computing and Artificial Intelligence Southwestern University of Finance and Economics Chengdu, Sichuan, China
WGDnet: Wishart-guided Geometric-aware Deep Network for PolSAR Image Classification
Jul 26, 2026Junfei Shi, Haojia Zhang, Yu Cheng +1Convolutional Neural Networks Synthetic Aperture Radar
Direction-adaptive Mamba: Spatial-Frequency Dual-Domain Collaborative Learning for PolSAR Image Classification
Jul 26, 2026Junfei Shi, Yu Cheng, Haojia Zhang +3Mamba Frequency-Domain Feature Learning
Stokes-Informed Diffusion for Robust Linear Polarization Estimation
Jul 23, 2026Yidong Luo, Chenggong Li, Yuchao Feng +3Physics-Informed ML Polarimetric Imaging
Zhejiang University, Hangzhou, China · School of Automation, Central South University, Changsha, China · College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China +2
Physics-Aware Complex-Valued State Space Model with Scattering-Prior Feature Modulation for PolSAR Image Classification
Jul 22, 2026Fangyan Zhang, Fan Zhang, Shiqi Zhou +3Complex-Valued Neural Networks Visual SSMs
The College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China · The School of Information Science and Engineering, Yunnan University, Kunming, China · The Department of Signal Theory and Communications, Polytechnic University of Catalonia, Barcelona, Spain
Learning Spectral and Polarimetric Clues for One-to-Multimodal Novel View Synthesis
Jul 2, 2026Federico Lincetto, Gianluca Agresti, Mattia Rossi +2Neural Rendering Novel View Synthesis
MEDIA Lab, University of Padova, Padova, Italy · Sony EUISPC, Sony Semiconductor Solutions Europe, Stuttgart, Germany
CPDDNet: Color-Polarization Denoising and Demosaicking Network
Jul 1, 2026Qihang Zhang, Yusuke Monno, Masayuki Tanaka +1Image Reconstruction Image Restoration
Institute of Science Tokyo
Structure-Aware Consistency Priors for Shape from Polarization in Complex Media
May 30, 2026Kaimin Yu, Puyun Wang, Huayang He +1Surface Normal Estimation Polarimetric Imaging
PolSAR Image Classification using a Hybrid Complex-Valued Network (HybridCVNet)
May 29, 2026Mohammed Q. AlkhatibHybrid CNN-Transformer Architectures Complex-Valued Neural Networks
Snapshot Polarimetric Display Inverse Rendering
May 24, 2026Seokjun Choi, Yunseong Moon, Kaizhang Kang +4Inverse Rendering Materials Property Prediction
1POSTECH, South Korea · 2Meta, USA
MuellerPT: Decomposition Driven Pretraining for Dense Learning in Mueller Polarimetry
May 22, 2026Adam Tlemsani, Yingdian Li, Maxime Giot +4Self-Supervised Pre-Training Medical Image Classification
Department of Computing, Imperial College London · Hamlyn Centre for Robotic Surgery, Imperial College London · Department of Surgery and Cancer, Imperial College London +2
PolarVSR: A Unified Framework and Benchmark for Continuous Space-Time Polarization Video Reconstruction
May 11, 2026Chenggong Li, Yidong Luo, Junchao Zhang +2Image Reconstruction Polarimetric Imaging
School of Automation, Central South University, Changsha, China · Hunan Provincial Key Laboratory of Optic-Electronic Intelligent Measurement and Control, Changsha, China · Zhejiang University, Hangzhou, China +3
PolarVLM: Bridging the Semantic-Physical Gap in Vision-Language Models
May 8, 2026Yuliang Li, Chu Zhou, Heng Guo +3Visual Question Answering Vision-Language Models
Beijing University of Posts and Telecommunications, China · National Institute of Informatics, Japan · Peking University, China +1
DDF2Pol: A Dual-Domain Feature Fusion Network for PolSAR Image Classification
Apr 20, 2026Mohammed Q. AlkhatibRemote Sensing Image Understanding Complex-Valued Neural Networks
College of Engineering and IT, University of Dubai, Dubai, 14143, UAE
PolarAPP: Beyond Polarization Demosaicking for Polarimetric Applications
Mar 24, 2026Yidong Luo, Chenggong Li, Yunfeng Song +4Multi-Task Learning Polarimetric Imaging
Zhejiang University, Hangzhou, China · School of Automation, Central South University, Changsha, China · School of Engineering, Westlake University, Hangzhou, China +1

Oct 6, 2026, cs.CVJ/K move · Enter open · S save

PolarScale: A Physics-Grounded Benchmark for Radiometrically Consistent RGB-to-Stokes Estimation

Beibei Lin, Tingting Chen, Xin Zhang, Wenhao Zhao+2

National University of Singapore · University of Michigan, Ann Arbor

Polarimetric Imaging

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Polarization imaging provides physical cues beyond intensity imaging but typically requires specialized hardware. Recent methods infer polarization from RGB-like inputs, yet predict only normalized Stokes components or relative descriptors, from which the radiometric scale needed for full Stokes reconstruction has been divided out. We introduce PolarScale, a benchmark that makes this scale an explicit prediction and evaluation target. Built on existing trichromatic full-Stokes measurements, PolarScale takes the per-scene normalized total-intensity image

s_0

(a scene-referred linear image, not a consumer sRGB photograph) and asks models to predict normalized Stokes components, AoLP/DoLP/DoCP, and a per-scene scale. Because the scale is divided out of the input, it is not physically identifiable; PolarScale therefore evaluates dataset-conditioned semantic scale estimation against a constant-scale control, together with angular, self-consistency, and physical-bound metrics. Across seven restoration-based and generative backbones and three prediction strategies, the strongest restoration models estimate the scale with 3.6-4.3% mean relative error versus 5.7% for the constant control and violate physical bounds on fewer than 0.25% of pixels, whereas two generative baselines collapse to a near-zero scale; explicit descriptor supervision improves descriptor accuracy (23.66 vs. 18.88 dB PSNR for MAE). Predicted full-Stokes representations improve diffuse/specular separation, material segmentation, and glare classification, although in diffuse/specular separation the learned scale performs only on par with the constant control.

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