6 papers · 1 filter
Exo2EgoHOI: Hand-Object-Interaction Aware Exocentric-to-Egocentric Video Generation
Hongjia Zhai, Xiyu Zhang, Haoran Zhang +5
Egocentric videos of human manipulation provide valuable visual experience for embodied intelligence, yet collecting such data at scale is costly. Exocentric-to-egocentric video ge…
SURE-Map: Self-Correcting Streaming Geometric Foundation Models
Mingkai Liu, Hao Zhao, Xingxing Zuo
Streaming geometric foundation models are emerging as a compelling alternative to SLAM systems. Yet this streaming nature introduces a fundamental issue: each prediction is made fr…
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…
SC-Diff: 3D Shape Completion with Latent Diffusion Models
Simon Schaefer, Juan D. Galvis, Xingxing Zuo +1
We present a novel 3D shape completion framework that unifies multimodal conditioning, leveraging both 2D images and 3D partial scans through a latent diffusion model. Shapes are r…
NeRF-VO: Real-Time Sparse Visual Odometry with Neural Radiance Fields
Jens Naumann, Binbin Xu, Stefan Leutenegger +1
We introduce a novel monocular visual odometry (VO) system, NeRF-VO, that integrates learning-based sparse visual odometry for low-latency camera tracking and a neural radiance sce…
Dynamic LiDAR Re-simulation using Compositional Neural Fields
Hanfeng Wu, Xingxing Zuo, Stefan Leutenegger +3
We introduce DyNFL, a novel neural field-based approach for high-fidelity re-simulation of LiDAR scans in dynamic driving scenes. DyNFL processes LiDAR measurements from dynamic en…