Cloud Removal Edit Task
Computer Vision • Image Inpainting
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Benchmarks
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
|---|---|---|---|---|---|---|
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Datasets
Greatest papers with code
Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Network
• Penn000/SpA-GAN_for_cloud_removal
• 
Optical remote sensing imagery has been widely used in many fields due to its high resolution and stable geometric properties.
Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network
Because of the internal malfunction of satellite sensors and poor atmospheric conditions such as thick cloud, the acquired remote sensing data often suffer from missing information, i. e., the data usability is greatly reduced.
Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion
Optical remote sensing imagery is at the core of many Earth observation activities.
Ranked #1 on
Cloud Removal
on SEN12MS-CR
A Remote Sensing Image Dataset for Cloud Removal
Removing clouds is an indispensable pre-processing step in remote sensing image analysis.
Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks
• VSAnimator/stgan
•
In contrast, we cast the problem of cloud removal as a conditional image synthesis challenge, and we propose a trainable spatiotemporal generator network (STGAN) to remove clouds.