Enhancing Photogrammetric Digital Surface Models with Pretrained Diffusion Models and Multimodal Conditioning

arXiv:2609.31199 · eess.IV, cs.CV · Submitted 2026-09-25 · Read on arXiv

eess.IV, cs.CV

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/CNES/cars-rasterize

Project page: https://cartes.gouv.fr/telechargement/IGNF_NUAGES-DE-POINTS-LIDAR-HD

Terminology

• Diffusion Model — 15× in this paper · explained in 8 episodes
• Diffusion Models — 13× in this paper · explained in 6 episodes
• Transformer — 12× in this paper · explained in 2 episodes
• Flow Matching — 8× in this paper · explained in 8 episodes
• Digital Surface Model — 7× in this paper
• Adaptation — 6× in this paper · explained in 1 episode
• Pruning — 6× in this paper · explained in 4 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Generative Model — 4× in this paper · explained in 2 episodes
• Rectified Flow — 4× in this paper · explained in 3 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• International Conference on Computer Vision — 2× in this paper
• Latent Diffusion Model — 2× in this paper · explained in 2 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Ordinary Differential Equation — 2× in this paper
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Joint Conditional Flow Matching — 1× in this paper
• Latent Space — 1× in this paper · explained in 7 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Variational Autoencoder (VAE) — 1× in this paper · explained in 3 episodes

Sources

• A Diffusion-Based Framework for Terrain-Aware Remote Sensing Image Reconstruction
• DINOv2: Learning Robust Visual Features without Supervision

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