most citedA Survey: Learning Embodied Intelligence from Physical Simulators and World Models

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cs.CV2026

Event Cameras versus Frame Cameras for Synthetic-Aperture Imaging: A Simulation Study

Jakob Hinterholzer, Mohamed Youssef, Oliver Bimber

Synthetic-aperture imaging (SAI) removes occluders such as foliage by integrating many views of a scene along a camera path. It has so far been used mainly with frame cameras. We a…

cs.CV2026

PEAfowl: Perception-Enhanced Multi-View Vision-Language-Action for Bimanual Manipulation

Qingyu Fan, Zhaoxiang Li, Jinrui Hu +8

Bimanual manipulation in cluttered scenes requires policies that remain stable under occlusions, viewpoint changes and scene variations. Existing vision-language-action models ofte…

cs.CV2025

Pressure2Motion: Hierarchical Human Motion Reconstruction from Ground Pressure with Text Guidance

Zhengxuan Li, Qinhui Yang, Yiyu Zhuang +7

We present Pressure2Motion, a novel motion capture algorithm that reconstructs human motion from a ground pressure sequence and text prompt. At inference time, Pressure2Motion requ…

cs.CV2025

ComGS: Efficient 3D Object-Scene Composition via Surface Octahedral Probes

Jian Gao, Mengqi Yuan, Yifei Zeng +8

Gaussian Splatting (GS) enables immersive rendering, but realistic 3D object-scene composition remains challenging. Baked appearance and shadow information in GS radiance fields ca…

cs.CV2025

SpatialVID: A Large-Scale Video Dataset with Spatial Annotations

Jiahao Wang, Yufeng Yuan, Rujie Zheng +12

Significant progress has been made in spatial intelligence, spanning both spatial reconstruction and world exploration. However, the scalability and real-world fidelity of current…