Papers with Code 아카이브

Image Registration

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하위 태스크: 2
평가표: 5
보존된 평가 기록: 22

Image registration is the process of transforming different sets of data into one coordinate system. Data may be multiple photographs, data from different sensors, times, depths, or viewpoints. It is used in computer vision, medical imaging, and compiling and analyzing images and data from satellites. Registration is necessary in order to be able to compare or integrate the data obtained from these different measurements.

Source: Image registration | Wikipedia

( Image credit: Kornia )

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/uncbiag/ICON

공식 코드

$\texttt{GradICON}$: Approximate Diffeomorphisms via Gradient Inverse Consistency

https://github.com/uncbiag/easyreg

공식 코드

Anatomical Data Augmentation via Fluid-based Image Registration

https://github.com/uncbiag/equivariant_reg_2

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CARL: A Framework for Equivariant Image Registration

https://github.com/uncbiag/nephi

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$\texttt{NePhi}$: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration

https://github.com/uncbiag/pstrip

공식 코드

Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach

https://github.com/uncbiag/registration

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Metric Learning for Image Registration

https://github.com/uncbiag/unigradicon

공식 코드

uniGradICON: A Foundation Model for Medical Image Registration

https://github.com/uof1745-cmd/sdp

공식 코드

Spatiotemporal Deformation Perception for Fisheye Video Rectification

https://github.com/valbcn/casreg

공식 코드

Unsupervised Segmentation of Fetal Brain MRI using Deep Learning Cascaded Registration

https://github.com/vboussot/impactloss

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IMPACT: A Generic Semantic Loss for Multimodal Medical Image Registration

https://github.com/vcg-uvic/linearized_multisampling_release

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Linearized Multi-Sampling for Differentiable Image Transformation

https://github.com/verlab/DALF_CVPR_2023

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Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints

https://github.com/verlab/DescriptorReasoning_ACCV_2024

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Leveraging Semantic Cues from Foundation Vision Models for Enhanced Local Feature Correspondence

https://github.com/vignywang/awesome-local-feature-matching

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Local Feature Matching Using Deep Learning: A Survey

https://github.com/vigsivan/optimization-based-registration

공식 코드

Recurrence With Correlation Network for Medical Image Registration

https://github.com/voxelmorph/voxelmorph

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VoxelMorph: A Learning Framework for Deformable Medical Image Registration

https://github.com/wangqingyu985/plantstereo

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PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction

https://github.com/wangshansong1/Triad

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Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging

https://github.com/wjiazheng/mcbo

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Unsupervised Multimodal 3D Medical Image Registration with Multilevel Correlation Balanced Optimization

https://github.com/wujiong-hub/ldm-morph

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LDM-Morph: Latent diffusion model guided deformable image registration

https://github.com/wwu-mmll/deepmriprep

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deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural Networks

https://github.com/x-xc/WiNet

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WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration

https://github.com/x-xc/sacb_net

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SACB-Net: Spatial-awareness Convolutions for Medical Image Registration

https://github.com/xi-jia/fourier-net

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Fourier-Net: Fast Image Registration with Band-limited Deformation

https://github.com/xi-jia/lessnet

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Decoder-Only Image Registration

https://github.com/xi-jia/lku-net

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U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?

https://github.com/xinDW/RFGANM

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High-throughput, high-resolution registration-free generated adversarial network microscopy

https://github.com/xingorno/deepregs2v

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Deep Regression 2D-3D Ultrasound Registration for Liver Motion Correction in Focal Tumor Thermal Ablation

https://github.com/xiongchaochen/dusfe_crossregistration

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Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT

https://github.com/xmed-lab/fsdiffreg

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FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images

https://github.com/xsqhust/turbulence_removal

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1st Solution Places for CVPR 2023 UG$^{\textbf{2}}$+ Challenge Track 2.1-Text Recognition through Atmospheric Turbulence

https://github.com/yanwenci/tell2reg

공식 코드

Tell2Reg: Establishing spatial correspondence between images by the same language prompts

https://github.com/yihao6/digital_diffeomorphism

공식 코드

On Finite Difference Jacobian Computation in Deformable Image Registration

https://github.com/yihao6/vfa

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Vector Field Attention for Deformable Image Registration

https://github.com/yongchengyao/cartimorph

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CartiMorph: a framework for automated knee articular cartilage morphometrics

https://github.com/yongchengyao/cmt-amai24paper

공식 코드

Quantifying Knee Cartilage Shape and Lesion: From Image to Metrics

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.