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20242026
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cs.CV2026

AnchorSplat: Fast and Structure Consistent Detail Synthesis for Gaussian Splatting

Dexu Zhu, Jiangnan Shao, Xiaofeng Wang +4

3D Gaussian Splatting (3DGS) has emerged as a powerful representation for high-fidelity rendering. However, existing assets often suffer from quality bottlenecks such as missing de…

cs.CV2026

Spatial-Aware Reduction Framework: Towards Efficient and Faithful Visual State Space Models

Jindi Lv, Aoyu Li, Yuhao Zhou +6

Mamba demonstrates strong efficiency in modeling long visual sequences. However, when token reduction is applied to structurally enhanced Mamba variants, these models exhibit a sev…

cs.CV2026

ScoutVLA: UAV-Centric Active Perception via a Dual-Expert VLA Model for Open-World Embodied Question Answering

Wenhao Lu, Zhengqiu Zhu, Xiaofeng Wang +7

Aerial Embodied Question Answering (EQA) requires Unmanned Aerial Vehicles (UAVs) to actively perceive the environment and answer natural language questions. Existing outdoor EQA s…

cs.CV2026

ReconPhys: Reconstruct Appearance and Physical Attributes from Single Video

Boyuan Wang, Xiaofeng Wang, Yongkang Li +9

Reconstructing non-rigid objects with physical plausibility remains a significant challenge. Existing approaches leverage differentiable rendering for per-scene optimization, recov…

cs.CV2026

DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning

Yang Zhou, Xiaofeng Wang, Hao Shao +8

Recently, world-action models (WAM) have emerged to bridge vision-language-action (VLA) models and world models, unifying their reasoning and instruction-following capabilities and…

cs.CV2026

GigaWorld-Policy: An Efficient Action-Centered World--Action Model

Angen Ye, Boyuan Wang, Chaojun Ni +21

World-Action Models (WAM) initialized from pre-trained video generation backbones have demonstrated remarkable potential for robot policy learning. However, existing approaches fac…