Cover Image

Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sanguigni, Fulvio, Czerkawski, Mikolaj, Papa, Lorenzo, Amerini, Irene, Saux, Bertrand Le
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Major TOM: Expandable Datasets for Earth Observation
by: Francis, Alistair, et al.
Published: (2024)

On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observation
by: Papa, Lorenzo, et al.
Published: (2024)

DepthFake: a depth-based strategy for detecting Deepfake videos
by: Maiano, Luca, et al.
Published: (2022)

IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI
by: Jeggle, Kai, et al.
Published: (2024)

COP-GEN: Latent Diffusion Transformer for Copernicus Earth Observation Data
by: Espinosa, Miguel, et al.
Published: (2026)

Exploring the Capability of Text-to-Image Diffusion Models with Structural Edge Guidance for Multi-Spectral Satellite Image Inpainting
by: Czerkawski, Mikolaj, et al.
Published: (2023)

Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images
by: Dionelis, Nikolaos, et al.
Published: (2024)

A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching
by: Pro, Francesco, et al.
Published: (2024)

A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking
by: Papa, Lorenzo, et al.
Published: (2023)

VidCLearn: A Continual Learning Approach for Text-to-Video Generation
by: Zanchetta, Luca, et al.
Published: (2025)

Global and Dense Embeddings of Earth: Major TOM Floating in the Latent Space
by: Czerkawski, Mikolaj, et al.
Published: (2024)

Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI
by: Dionelis, Nikolaos, et al.
Published: (2024)

Shedding Light on Depth: Explainability Assessment in Monocular Depth Estimation
by: Cirillo, Lorenzo, et al.
Published: (2025)

D4D: An RGBD diffusion model to boost monocular depth estimation
by: Papa, L., et al.
Published: (2024)

METER: a mobile vision transformer architecture for monocular depth estimation
by: Papa, L., et al.
Published: (2024)

Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation
by: Xiong, Zhitong, et al.
Published: (2024)

TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data
by: Blumenstiel, Benedikt, et al.
Published: (2025)

Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation
by: Sanguigni, Fulvio, et al.
Published: (2025)

Continuous fake media detection: adapting deepfake detectors to new generative techniques
by: Tassone, Francesco, et al.
Published: (2024)

Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic Segmentation
by: Mule, Emanuele, et al.
Published: (2025)

EarthEmbeddingExplorer: A Web Application for Cross-Modal Retrieval of Global Satellite Images
by: Zheng, Yijie, et al.
Published: (2026)

On Input Formats for Radar Micro-Doppler Signature Processing by Convolutional Neural Networks
by: Czerkawski, Mikolaj, et al.
Published: (2024)

MESA: Text-Driven Terrain Generation Using Latent Diffusion and Global Copernicus Data
by: Borne--Pons, Paul, et al.
Published: (2025)

Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals
by: Lobba, Davide, et al.
Published: (2025)

Dress-ED: Instruction-Guided Editing for Virtual Try-On and Try-Off
by: Sanguigni, Fulvio, et al.
Published: (2026)

Z-SASLM: Zero-Shot Style-Aligned SLI Blending Latent Manipulation
by: Borgi, Alessio, et al.
Published: (2025)

Enhancing Abnormality Identification: Robust Out-of-Distribution Strategies for Deepfake Detection
by: Maiano, Luca, et al.
Published: (2025)

LADLE-MM: Limited Annotation based Detector with Learned Ensembles for Multimodal Misinformation
by: Cardullo, Daniele, et al.
Published: (2025)

COP-GEN-Beta: Unified Generative Modelling of COPernicus Imagery Thumbnails
by: Espinosa, Miguel, et al.
Published: (2025)

Robustness of Deep Neural Networks for Micro-Doppler Radar Classification
by: Czerkawski, Mikolaj, et al.
Published: (2024)

Interference Motion Removal for Doppler Radar Vital Sign Detection Using Variational Encoder-Decoder Neural Network
by: Czerkawski, Mikolaj, et al.
Published: (2024)

Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Images
by: Santosh, et al.
Published: (2024)

PhilEO Bench: Evaluating Geo-Spatial Foundation Models
by: Fibaek, Casper, et al.
Published: (2024)

Scaling Laws for Geospatial Foundation Models: A case study on PhilEO Bench
by: Dionelis, Nikolaos, et al.
Published: (2025)

Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models
by: Bellier, Georges Le, et al.
Published: (2024)

EarthSynth: Generating Informative Earth Observation with Diffusion Models
by: Pan, Jiancheng, et al.
Published: (2025)

Change detection needs change information: improving deep 3D point cloud change detection
by: de Gélis, Iris, et al.
Published: (2023)

Assessing the Added Value of Onboard Earth Observation Processing with the IRIDE HEO Service Segment
by: Thind, Parampuneet Kaur, et al.
Published: (2026)

A Novel Micro-Doppler Coherence Loss for Deep Learning Radar Applications
by: Czerkawski, Mikolaj, et al.
Published: (2024)

STLight: a Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal joint Processing
by: Alfarano, Andrea, et al.
Published: (2024)