5 papers
QuacamFM: Quaternion-Constrained Flow Matching for Camera Pose Estimation
Bao-Long Tran, Cuong Le, Tahereh Dehdarirad +2
Camera pose estimation from multi-view images remains a challenge in computer vision. Traditional methods often address this problem using Structure-from-Motion (SfM) with bundle a…
CQF-HMR: Continuous Quaternion Flows for Probabilistic 3D Human Mesh Recovery from a Single Image
Cuong Le, Bao-Long Tran, Pavlo Melnyk +3
Recovering 3D digital humans from a single 2D image is an ill-posed computer vision problem due to the loss of depth information. Probabilistic 3D human pose estimation compensates…
GeoBlur: Epipolar Geometry Estimation from a Single Motion-Blurred Image
Bao-Long Tran, Per-Erik Forssén, Cuong Le +1
Relative camera pose geometry, formulated via fundamental matrix estimation, is a challenging problem in many robotics and VR/AR applications. These applications occasionally conta…
Robust Multi-view Camera Calibration from Dense Matches
Johannes Hägerlind, Bao-Long Tran, Urs Waldmann +1
Estimating camera intrinsics and extrinsics is a fundamental problem in computer vision, and while advances in structure-from-motion (SfM) have improved accuracy and robustness, op…
VEIGAR: View-consistent Explicit Inpainting and Geometry Alignment for 3D object Removal
Pham Khai Nguyen Do, Bao Nguyen Tran, Nam Nguyen +1
Recent advances in Novel View Synthesis (NVS) and 3D generation have significantly improved editing tasks, with a primary emphasis on maintaining cross-view consistency throughout…