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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.RO2026

Zero2Skill: Bootstrapping Robot Skills through Autonomous Data Collection, Training, and Deployment

Boyuan Wang, Zhenyuan Zhang, Zhiqin Yang +16

Zero2Skill is a robot learning system that autonomously collects, verifies, and resets manipulation data while using a large language model to store and reuse human corrections, dr…

cs.CV2026

Empowering Feed-Forward Reconstruction Models with Metric Scale via Satellite Images

Xianghui Ze, Yongjian Luo, Mengjun Chao +3

Feed-forward 3D reconstruction models have recently shown strong generalization across diverse scenes, yet most of them recover geometry only up to an unknown global scale. This sc…

cs.CV2026

Seeing Across Skies and Streets: Feedforward 3D Reconstruction from Satellite, Drone, and Ground Images

Qiwei Wang, Zhongyao Tuo, Xianghui Ze +1

Cross-view localization classically asks: where does this ground image lie on the satellite tile? Existing methods are typically limited to 3-DoF estimates -- an position a…

cs.CV2026

CylinderSplat: 3D Gaussian Splatting with Cylindrical Triplanes for Panoramic Novel View Synthesis

Qiwei Wang, Xianghui Ze, Jingyi Yu +1

Feed-forward 3D Gaussian Splatting (3DGS) has shown great promise for real-time novel view synthesis, but its application to panoramic imagery remains challenging. Existing methods…

cs.CV2025

SatDreamer360: Multiview-Consistent Generation of Ground-Level Scenes from Satellite Imagery

Xianghui Ze, Beiyi Zhu, Zhenbo Song +2

Generating multiview-consistent ground-level scenes from satellite imagery is a challenging task with broad applications in simulation, autonomous navigation, and digit…

eess.IV2025

Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control

Xianghui Ze, Zhenbo Song, Qiwei Wang +2

Generating street-view images from satellite imagery is a challenging task, particularly in maintaining accurate pose alignment and incorporating diverse environmental conditions.…