3 papers
cs.CV2026
Robust Fundamental Matrix Estimation from Single Image Motion Blur
Bao-Long Tran, Per-Erik Forssén, Fredrik Viksten
In this paper, we introduce a challenging task: extracting a fundamental matrix from a single motion blurred image. For a camera moving in 3D during exposure, the smear paths in th…
cs.CV2025
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…
cs.GR2025
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…