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20242026
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cs.CV2026

Beyond the Eye: Efficient Multimodal Reasoning via Self-Regulated Implicit Visual Tools

Xiuwei Chen, Quanlin Chen, Wentao Hu +8

The paper introduces Beyond the Eye (BEE), an implicit visual‑tool framework for multimodal large language models that learns to self‑regulate when to invoke visual tools, reducing…

cs.CV2026

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models

Bin Hu, Yanwen Ma, Jiehui Huang +14

Recent game world models can synthesize visually plausible, action-conditioned rollouts. However, their interaction behaviors often remain limited to exploratory or wandering traje…

cs.CV2026

SyncLoop: A Multimodal Dual-Loop Framework for Self-Improving Mathematical Reasoning

Xiuwei Chen, Wentao Hu, Hanhui Li +9

Recent advances in multimodal large language models (MLLMs) have shown impressive reasoning capabilities. However, further enhancing existing MLLMs necessitates high-quality vision…

cs.CV2026

ProPhy: Progressive Physical Alignment for Dynamic World Simulation

Zijun Wang, Panwen Hu, Jing Wang +7

Recent advances in video generation have shown remarkable potential for constructing world simulators. However, current models still struggle to produce physically consistent resul…

cs.CV2026

ERGO: Excess-Risk-Guided Optimization for High-Fidelity Monocular 3D Gaussian Splatting

Zehua Ma, Hanhui Li, Zhenyu Xie +4

Generating 3D content from a single image remains a fundamentally challenging and ill-posed problem due to the inherent absence of geometric and textural information in occluded re…

cs.CV2026

AtomThink: Multimodal Slow Thinking with Atomic Step Reasoning

Kun Xiang, Zhili Liu, Terry Jingchen Zhang +12

In this paper, we address the challenging task of multimodal reasoning by incorporating the notion of ``slow thinking'' into multimodal large language models (MLLMs). Our core idea…