Pansharpening

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12 papers0 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

When Images Look Right and Retrieve Wrong: Coverage-Guided Cross-Scale Re-Indexing for Knowledge-Faithful Generative Perception
Aug 21, 2026Guangyuan Dong, Chuang Liu, Haoyu Wang +10Multimodal IR Remote Sensing
1National University of Singapore · 2Wuhan University · 4Nankai University +6
Dual Modality Prompted Diffusion Priors for Zero Shot Hyperspectral Pansharpening
Aug 12, 2026Pengwei Xie, Fei Zhu, Jiajun Li +4Diffusion Models for Image Restoration Hyperspectral Image Super-Resolution
School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China · School of GeoAI and Hinton STAI Institute, and the Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China · Peking University, Beijing 100871, China +3
GSPan: A Continuous Gaussian Primitive Representation for Arbitrary-Scale Pansharpening
Jun 16, 2026Fangyi Li, Xiaoyuan Yang, Yixiao Li +3Remote Sensing Image Super-Resolution Remote Sensing
Beihang University, School of Mathematical Sciences, Beijing, 102206, China · Tsinghua University, Department of Automation, Beijing, 100084, China · National Research Council - Institute of Methodologies for Environmental Analysis, CNR-IMAA, Tito, 85050, Italy
RAFNet: Region-Aware Fusion Network for Pansharpening
May 4, 2026Jianing Zhang, Zijian Zhou, Kai SunDynamic Convolution Frequency-Domain Feature Learning
College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an 710049, China · School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, China
CGFformer: Cluster-Guidance Frequency Transformer for Pansharpening
May 2, 2026Zijian Zhou, Jianing Zhang, Kai Sun +3Frequency-Domain Feature Learning Remote Sensing
College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, 710049, China · School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, 710049, China · School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, 710049, China
Euler-inspired Decoupling Neural Operator for Efficient Pansharpening
Apr 14, 2026Anqi Zhu, Mengting Ma, Yizhen Jiang +4Pansharpening Multi-Source Image Fusion
School of Software Technology, Zhejiang University, Ningbo, China · School of Computer Science and Technology, Chongqing University of Post and Telecommunications, Chongqing, China
Fast Model-guided Instance-wise Adaptation Framework for Real-world Pansharpening with Fidelity Constraints
Apr 10, 2026Zhiqi Yang, Jin-Liang Xiao, Shan Yin +2Pansharpening Multi-Source Image Fusion
University of Electronic Science and Technology of China, Chengdu, China · National Research Council, Institute of Methodologies for Environmental Analysis (CNR-IMAA), Tito, Italy
PAKAN: Pixel Adaptive Kolmogorov-Arnold Network Modules for Pansharpening
Mar 16, 2026Haoyu Zhang, Haojing Chen, Zhen Zhong +1Neural Network Activation Functions Pansharpening
University of Electronic Science and Technology of China
Pansharpening for Thin-Cloud Contaminated Remote Sensing Images: A Unified Framework and Benchmark Dataset
Mar 16, 2026Songcheng Du, Yang Zou, Jiaxin Li +4Pansharpening Remote Sensing
Northwest Polytechnical University · Chongqing University of Posts and Telecommunications · Aberystwyth University
G-ZAP: A Generalizable Zero-Shot Framework for Arbitrary-Scale Pansharpening
Mar 15, 2026Zhiqi Yang, Shan Yin, Jingze Liang +1Zero-Shot Learning Remote Sensing
University of Electronic Science and Technology of China
Universal Pansharpening Model
Mar 4, 2026Hebaixu Wang, Jing Zhang, Haonan Guo +4Pansharpening Multi-Source Image Fusion
School of Electronic Information, Wuhan University, Hubei, 430072, Wuhan, China. · Zhongguancun Academy, Beijing, 100094,China. · School of Computer Science, Wuhan University, Hubei, 430072, Wuhan, China. +2
Cross-Scale Pansharpening via ScaleFormer and the PanScale Benchmark
Feb 28, 2026Ke Cao, Xuanhua He, Xueheng Li +7Pansharpening Multi-Source Image Fusion
HFIPS, Chinese Academy of Sciences · University of Science and Technology of China · The Hong Kong University of Science and Technology +3

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When Images Look Right and Retrieve Wrong: Coverage-Guided Cross-Scale Re-Indexing for Knowledge-Faithful Generative Perception

Guangyuan Dong, Chuang Liu, Haoyu Wang, Yangchen Zeng+9

1National University of Singapore · 2Wuhan University · 4Nankai University+6

Multimodal IR Remote Sensing Cross-Modal Retrieval Multimodal Generation Pansharpening

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Multimodal information systems increasingly route generated visual content back through the same vision-language index that informed its production, so the output must remain retrievable by the queries it was meant to serve. When the scene contains entities at vastly different scales, existing language-guided generators condition on a single, globally pooled text embedding and quietly drop scale-specific concepts, breaking concept-query retrieval even when pixel fidelity is high. We formalise this failure as semantic collapse and propose CERES, a closed-loop multimodal indexing framework that builds a three-level semantic pyramid, mines implicit concepts via a co-occurrence-aware router, performs scale-routed cross-attention into a lightweight U-Net generator, and verifies coverage by re-indexing the generated image with the same frozen VLM. A continuously differentiable soft-Jaccard coverage objective returns dense gradients to the 0.39 M-parameter generator under explicit non-degeneracy conditions, and coverage is verified by an independent DINOv2 linear probe trained only on external scene and object labels. On four pansharpening benchmarks across seven settings, CERES delivers the new state of the art with the largest gains where scale variation is most extreme (+4.64% relative Q2n and +9.7 mAP for DOTA detection). It also improves concept-query retrieval Recall@5 by +14.0 points and image-text mean reciprocal rank by 0.19 over the strongest baseline, showing that the closed loop preserves queryable content rather than self-referential feature consistency.