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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.CV2024

LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness

Chenming Zhu, Tai Wang, Wenwei Zhang +2

Recent advancements in Large Multimodal Models (LMMs) have greatly enhanced their proficiency in 2D visual understanding tasks, enabling them to effectively process and understand…

cs.CV2024

ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities

Chenming Zhu, Tai Wang, Wenwei Zhang +2

Although great progress has been made in 3D visual grounding, current models still rely on explicit textual descriptions for grounding and lack the ability to reason human intentio…

cs.CV2024

An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models

Jiahao Sun, Chunmei Qing, Xiang Xu +10

In the rapidly evolving field of autonomous driving, precise segmentation of LiDAR data is crucial for understanding complex 3D environments. Traditional approaches often rely on d…