GeoCR: Learning a Generalist Cloud Removal Prior from Heterogeneous Observations

arXiv:2609.32510 · cs.CV · Submitted 2026-09-26 · Read on arXiv

cs.CV

Submitted: 2026-09-26

Updated: 2026-09-26

Project page: https://kaist-viclab.github.io/GeoCR_site

Terminology

• Adaptation — 29× in this paper · explained in 1 episode
• Fine-Tuning — 15× in this paper · explained in 5 episodes
• LoRA Adaptation — 12× in this paper · explained in 2 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• Fidelity — 10× in this paper · explained in 2 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 5× in this paper
• Flow Matching — 5× in this paper · explained in 8 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Aperture — 2× in this paper · explained in 1 episode
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Joint Attention — 2× in this paper · explained in 2 episodes
• Low-Rank Adaptation (LoRA) — 2× in this paper · explained in 9 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Adversarial Training — 1× in this paper · explained in 1 episode
• Computer Vision and Pattern Recognition Workshops — 1× in this paper
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Data Fusion — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Korea Advanced Institute of Science and Technology — 1× in this paper
• Latent Space — 1× in this paper · explained in 7 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

• Demystifying MMD GANs
• A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting
• LoRA: Low-Rank Adaptation of Large Language Models
• EO-VAE: Towards A Multi-sensor Tokenizer for Earth Observation Data
• A Remote Sensing Image Dataset for Cloud Removal
• Flow Matching for Generative Modeling
• DINOv3
• UniTS: Unified Spatio-Temporal Generative Model for Remote Sensing

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