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20242026
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cs.CV2026

Beyond Visual Quality: Evaluating Physical Consistency under Ego-Motion with EgoGenEval

Yilin Long, Chenming Zhu, Zitang Gou +2

Recent visual generators produce high-fidelity images yet often violate physical consistency under ego-motion, limiting their use for spatial reasoning and embodied planning. Exist…

cs.CV2026

GTAM: Geometry Grounded Track Anything Model

Chenming Zhu, Peizhou Cao, Jingli Lin +5

Human spatial understanding arises from jointly perceiving geometry and semantics, enabling consistent object identification and localization across viewpoints and time. Current vi…

cs.CV2026

Thinking with Imagination: Agentic Visual Spatial Reasoning with World Simulators

Chenming Zhu, Jingli Lin, Yilin Long +4

While Vision-Language Models (VLMs) have shown strong visual reasoning capabilities, their spatial reasoning abilities remain largely constrained to the observed images and text-or…

cs.CV2025

MMSI-Video-Bench: A Holistic Benchmark for Video-Based Spatial Intelligence

Jingli Lin, Runsen Xu, Shaohao Zhu +11

Spatial understanding over continuous visual input is crucial for MLLMs to evolve into general-purpose assistants in physical environments. Yet there is still no comprehensive benc…

cs.CV2025

GVLM: Geometry Grounded Vision Language Model with Unified 3D Reconstruction and Spatial Reasoning

Wenbo Hu, Jingli Lin, Yilin Long +7

Vision-Language Models (VLMs) still lack robustness in spatial intelligence, demonstrating poor performance on spatial understanding and reasoning tasks. We attribute this gap to t…

cs.CV2025

InternScenes: A Large-scale Simulatable Indoor Scene Dataset with Realistic Layouts

Weipeng Zhong, Peizhou Cao, Yichen Jin +9

The advancement of Embodied AI heavily relies on large-scale, simulatable 3D scene datasets characterized by scene diversity and realistic layouts. However, existing datasets typic…