150 citations · 165 across the 11 of their papers we have counts for
11 papers
SlimDiffSR: Toward Lightweight and Efficient Remote Sensing Image Super-Resolution via Diffusion Model Distillation
Ce Wang, Zhenyu Hu, Wanjie Sun
Diffusion models have recently achieved remarkable performance in image super-resolution (SR), but their high computational cost limits practical deployment in remote sensing appli…
The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
Kai Liu, Haoyang Yue, Zeli Lin +65
This paper presents the NTIRE 2026 Remote Sensing Infrared Image Super-Resolution (x4) Challenge, one of the associated challenges of NTIRE 2026. The challenge aims to recover high…
NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Multi-Exposure Image Fusion in Dynamic Scenes (Track 2)
Lishen Qu, Yao Liu, Jie Liang +32
This paper presents NTIRE 2026, the 3rd Restore Any Image Model (RAIM) challenge on multi-exposure image fusion in dynamic scenes. We introduce a benchmark that targets a practical…
RoadSceneVQA: Benchmarking Visual Question Answering in Roadside Perception Systems for Intelligent Transportation System
Runwei Guan, Rongsheng Hu, Shangshu Chen +10
Current roadside perception systems mainly focus on instance-level perception, which fall short in enabling interaction via natural language and reasoning about traffic behaviors i…
Controllable Reference Guided Diffusion with Local Global Fusion for Real World Remote Sensing Image Super Resolution
Ce Wang, Wanjie Sun
Super resolution techniques can enhance the spatial resolution of remote sensing images, enabling more efficient large scale earth observation applications. While single image SR m…
Unifying Dimensions: A Linear Adaptive Approach to Lightweight Image Super-Resolution
Zhenyu Hu, Wanjie Sun
Window-based transformers have demonstrated outstanding performance in super-resolution tasks due to their adaptive modeling capabilities through local self-attention (SA). However…
Map-Assisted Remote-Sensing Image Compression at Extremely Low Bitrates
Yixuan Ye, Ce Wang, Wanjie Sun +1
Remote-sensing (RS) image compression at extremely low bitrates has always been a challenging task in practical scenarios like edge device storage and narrow bandwidth transmission…
Timestep-Aware Diffusion Model for Extreme Image Rescaling
Ce Wang, Zhenyu Hu, Wanjie Sun +1
Image rescaling aims to learn the optimal low-resolution (LR) image that can be accurately reconstructed to its original high-resolution (HR) counterpart, providing an efficient im…
Semantic Guided Large Scale Factor Remote Sensing Image Super-resolution with Generative Diffusion Prior
Ce Wang, Wanjie Sun
Remote sensing images captured by different platforms exhibit significant disparities in spatial resolution. Large scale factor super-resolution (SR) algorithms are vital for maxim…
Learning Many-to-Many Mapping for Unpaired Real-World Image Super-resolution and Downscaling
Wanjie Sun, Zhenzhong Chen
Learning based single image super-resolution (SISR) for real-world images has been an active research topic yet a challenging task, due to the lack of paired low-resolution (LR) an…
Learned Image Downscaling for Upscaling using Content Adaptive Resampler
Wanjie Sun, Zhenzhong Chen
Deep convolutional neural network based image super-resolution (SR) models have shown superior performance in recovering the underlying high resolution (HR) images from low resolut…