Registration

(arXiv 2021.04) ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration, [Paper], [Code]
(arXiv 2021.05) Attention for Image Registration (AiR): an unsupervised Transformer approach, [Paper]
(arXiv 2022.02) A Transformer-based Network for Deformable Medical Image Registration, [Paper]
(arXiv 2022.03) Affine Medical Image Registration with Coarse-to-Fine Vision Transformer, [Paper], [Code]
(arXiv 2022.04) Symmetric Transformer-based Network for Unsupervised Image Registration, [Paper], [Code]
(arXiv 2023.03) Spatially-varying Regularization with Conditional Transformer for Unsupervised Image Registration, [Paper]
(arXiv 2023.03) RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration, [Paper]
(arXiv 2023.07) Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration, [Paper]
(arXiv 2023.08) 2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds, [Paper], [Code]
(arXiv 2023.08) GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer, [Paper], [Code]
(arXiv 2023.10) OAAFormer: Robust and Efficient Point Cloud Registration Through Overlapping-Aware Attention in Transformer, [Paper]
(arXiv 2023.12) VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning, [Paper], [Code]
(arXiv 2023.12) D3Former: Jointly Learning Repeatable Dense Detectors and Feature-enhanced Descriptors via Saliency-guided Transformer, [Paper]
(arXiv 2024.03) EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image Registration, [Paper]
(arXiv 2024.04) PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer, [Paper]
(arXiv 2024.06) Point Tree Transformer for Point Cloud Registration, [Paper]
(arXiv 2024.10) TFCT-I2P: Three stream fusion network with color aware transformer for image-to-point cloud registration, [Paper], [Code]
(arXiv 2024.10) A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration, [Paper], [Code]
(arXiv 2025.06) MT-PCR: A Hybrid Mamba-Transformer with Spatial Serialization for Hierarchical Point Cloud Registration, [Paper]

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