27 citations · 32 across the 2 of their papers we have counts for
15 papers
Active View Selector: Fast and Accurate Active View Selection with Cross Reference Image Quality Assessment
Zirui Wang, Yash Bhalgat, Ruining Li +1
We tackle active view selection in novel view synthesis and 3D reconstruction. Existing methods like FisheRF and ActiveNeRF select the next best view by minimizing uncertainty or m…
Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs
Brandon Smart, Chuanxia Zheng, Iro Laina +1
In this paper, we introduce Splatt3R, a pose-free, feed-forward method for in-the-wild 3D reconstruction and novel view synthesis from stereo pairs. Given uncalibrated natural imag…
Map-Relative Pose Regression for Visual Re-Localization
Shuai Chen, Tommaso Cavallari, Victor Adrian Prisacariu +1
Pose regression networks predict the camera pose of a query image relative to a known environment. Within this family of methods, absolute pose regression (APR) has recently shown…
Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
Axel Barroso-Laguna, Sowmya Munukutla, Victor Adrian Prisacariu +1
Given two images, we can estimate the relative camera pose between them by establishing image-to-image correspondences. Usually, correspondences are 2D-to-2D and the pose we estima…
Semi-weakly-supervised neural network training for medical image registration
Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo +11
For training registration networks, weak supervision from segmented corresponding regions-of-interest (ROIs) have been proven effective for (a) supplementing unsupervised methods,…
HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation
Changkun Liu, Shuai Chen, Yukun Zhao +3
Absolute Pose Regressors (APRs) directly estimate camera poses from monocular images, but their accuracy is unstable for different queries. Uncertainty-aware APRs provide uncertain…