DMM-Align: Closed-Loop Optimization for 2D-3D Registration with Dual-Role Diffusion

arXiv:2609.27794 · cs.CV · Submitted 2026-08-17 · Read on arXiv

cs.CV

Submitted: 2026-08-17

Updated: 2026-08-17

Terminology

• Distillation — 16× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 14× in this paper
• Closed-Loop Optimization — 12× in this paper · explained in 2 episodes
• Representation Learning — 11× in this paper · explained in 2 episodes
• Inlier Ratio — 10× in this paper
• Transformer — 8× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Diffusion Model — 5× in this paper · explained in 8 episodes
• Point Clouds — 5× in this paper · explained in 2 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Ablation Studies — 4× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Feature Extraction — 4× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Diffusion Models — 3× in this paper · explained in 6 episodes
• CVF International Conference on Computer Vision — 2× in this paper
• Diffusion Process — 2× in this paper · explained in 2 episodes
• International Conference on Robotics and Automation — 2× in this paper
• Registration Recall — 2× in this paper
• Unified Framework — 2× in this paper · explained in 5 episodes
• 6D Object Pose Estimation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Diffusion Processes — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Patch Inlier Ratio — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• LRM: Large Reconstruction Model for Single Image to 3D
• Score-Based Generative Modeling through Stochastic Differential Equations
• FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
• 3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
• Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching

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