Abstract: In this paper, we introduce U-Net v2, a new robust and efficient U-Net variant for medical image segmentation. It aims to augment the infusion of semantic information into low-level features ...

Abstract: In recent years, with the advancement of medical imaging technology, medical image segmentation has played a key role in assisting diagnosis and treatment planning. Current deep ...

This is the reference implementation of the paper "Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences" presented at CVPR 2024. The paper introduces Metric Keypoints (MicKey), a ...

This is the official implementation of our paper GaussianImage, a groundbreaking paradigm of image representation and compression by 2D Gaussian Splatting. With compact 2D Gaussian representation and ...