PDA++: Field-Aligned Planning and Scene-Adaptive Insertion in Remote Sensing

arXiv:2609.18329 · cs.CV · Submitted 2026-09-16 · Read on arXiv

cs.CV

Submitted: 2026-09-16

Updated: 2026-09-17

Code: https://github.com/lisheyu972/PDA_PLUS

Terminology

• Affordance — 22× in this paper · explained in 1 episode
• Diffusion Model — 20× in this paper · explained in 8 episodes
• Adaptation — 19× in this paper · explained in 1 episode
• Diffusion Models — 14× in this paper · explained in 6 episodes
• Benchmark — 12× in this paper · explained in 2 episodes
• Decoupling — 11× in this paper · explained in 2 episodes
• Fidelity — 10× in this paper · explained in 2 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Consistency — 8× in this paper · explained in 3 episodes
• Generative Model — 7× in this paper · explained in 2 episodes
• Generative Models — 7× in this paper · explained in 2 episodes
• Data Augmentation — 5× in this paper · explained in 7 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Foundation Model — 4× in this paper · explained in 3 episodes
• Instance Segmentation — 4× in this paper · explained in 3 episodes
• Optimal Transport — 4× in this paper · explained in 5 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• Generalization — 3× in this paper · explained in 13 episodes
• Generative Modeling — 3× in this paper · explained in 3 episodes
• Latent Diffusion Model — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Latent Representation — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Flow Matching — 1× in this paper · explained in 7 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• International Conference on Learning Representations — 1× in this paper
• Latent Diffusion Models (LDMs) — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• PID Controller — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• Spectral Signature — 1× in this paper · explained in 2 episodes
• Structural Control — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• EarthSynth: Generating Informative Earth Observation with Diffusion Models
• TerraGen: A Unified Multi-Task Layout Generation Framework for Remote Sensing Data Augmentation
• Task-Oriented Data Synthesis and Control-Rectify Sampling for Remote Sensing Semantic Segmentation
• Qwen-Image Technical Report
• Making Images Real Again: A Comprehensive Survey on Deep Image Composition
• HiddenObjects: Scalable Diffusion-Distilled Spatial Priors for Object Placement
• Region-to-Region: Enhancing Generative Image Harmonization with Adaptive Regional Injection
• ChangeAnywhere: Sample Generation for Remote Sensing Change Detection via Semantic Latent Diffusion Model
• Generating Satellite Imagery Data for Wildfire Detection through Mask-Conditioned Generative AI
• GeoDiff-SAR: A Geometric Prior Guided Diffusion Model for SAR Image Generation
• SegEarth-OV3: Exploring SAM 3 for Open-Vocabulary Semantic Segmentation in Remote Sensing Images
• SAM 3: Segment Anything with Concepts
• Flow Matching for Generative Modeling
• YOLO26: Key Architectural Enhancements and Performance Benchmarking for Real-Time Object Detection

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