10 citations · 22 across the 10 of their papers we have counts for
10 papers
4DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians
Hidenobu Matsuki, Gwangbin Bae, Andrew J. Davison
We propose the first 4D tracking and mapping method that jointly performs camera localization and non-rigid surface reconstruction via differentiable rendering. Our approach captur…
U-ARE-ME: Uncertainty-Aware Rotation Estimation in Manhattan Environments
Aalok Patwardhan, Callum Rhodes, Gwangbin Bae +1
Camera rotation estimation from a single image is a challenging task, often requiring depth data and/or camera intrinsics, which are generally not available for in-the-wild videos.…
Rethinking Inductive Biases for Surface Normal Estimation
Gwangbin Bae, Andrew J. Davison
Despite the growing demand for accurate surface normal estimation models, existing methods use general-purpose dense prediction models, adopting the same inductive biases as other…
SuperPrimitive: Scene Reconstruction at a Primitive Level
Kirill Mazur, Gwangbin Bae, Andrew J. Davison
Joint camera pose and dense geometry estimation from a set of images or a monocular video remains a challenging problem due to its computational complexity and inherent visual ambi…
FOUND: Foot Optimization with Uncertain Normals for Surface Deformation Using Synthetic Data
Oliver Boyne, Gwangbin Bae, James Charles +1
Surface reconstruction from multi-view images is a challenging task, with solutions often requiring a large number of sampled images with high overlap. We seek to develop a method…
IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty
Gwangbin Bae, Ignas Budvytis, Roberto Cipolla
Single image surface normal estimation and depth estimation are closely related problems as the former can be calculated from the latter. However, the surface normals computed from…
DigiFace-1M: 1 Million Digital Face Images for Face Recognition
Gwangbin Bae, Martin de La Gorce, Tadas Baltrusaitis +5
State-of-the-art face recognition models show impressive accuracy, achieving over 99.8% on Labeled Faces in the Wild (LFW) dataset. Such models are trained on large-scale datasets…
SPARC: Sparse Render-and-Compare for CAD model alignment in a single RGB image
Florian Langer, Gwangbin Bae, Ignas Budvytis +1
Estimating 3D shapes and poses of static objects from a single image has important applications for robotics, augmented reality and digital content creation. Often this is done thr…
Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
Gwangbin Bae, Ignas Budvytis, Roberto Cipolla
Multi-view depth estimation methods typically require the computation of a multi-view cost-volume, which leads to huge memory consumption and slow inference. Furthermore, multi-vie…
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
Gwangbin Bae, Ignas Budvytis, Roberto Cipolla
Surface normal estimation from a single image is an important task in 3D scene understanding. In this paper, we address two limitations shared by the existing methods: the inabilit…