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cs.CV2026

EgoFlow: Gradient-Guided Flow Matching for Egocentric 6DoF Object Motion Generation

Abhishek Saroha, Huajian Zeng, Xingxing Zuo +2

Understanding and predicting object motion from egocentric video is fundamental to embodied perception and interaction. However, generating physically consistent 6DoF trajectories…

cs.CV2026

NOVA3R: Non-pixel-aligned Visual Transformer for Amodal 3D Reconstruction

Weirong Chen, Chuanxia Zheng, Ganlin Zhang +2

We present NOVA3R, an effective approach for non-pixel-aligned 3D reconstruction from a set of unposed images in a feed-forward manner. Unlike pixel-aligned methods that tie geomet…

cs.CV2025

ViSTA-SLAM: Visual SLAM with Symmetric Two-view Association

Ganlin Zhang, Shenhan Qian, Xi Wang +1

We present ViSTA-SLAM as a real-time monocular visual SLAM system that operates without requiring camera intrinsics, making it broadly applicable across diverse camera setups. At i…

cs.CV2025

ProBA: Probabilistic Bundle Adjustment with the Bhattacharyya Coefficient

Jason Chui, Hector Andrade-Loarca, Daniel Cremers

Classical Bundle Adjustment (BA) is fundamentally limited by its reliance on precise metric initialization and prior camera intrinsics. While modern dense matchers offer high-fidel…

cs.CV2025

Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction

Weirong Chen, Ganlin Zhang, Felix Wimbauer +4

Traditional SLAM systems, which rely on bundle adjustment, struggle with highly dynamic scenes commonly found in casual videos. Such videos entangle the motion of dynamic elements,…

cs.CV2024

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair

Weihang Li, Weirong Chen, Shenhan Qian +3

Recent advances in 3D Gaussian Splatting have shown promising results. Existing methods typically assume static scenes and/or multiple images with prior poses. Dynamics, sparse vie…