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cs.CV2026

CROP: Expert-Aligned Image Cropping via Compositional Reasoning and Optimizing Preference

Zhitong Dong, Chao Li, Jie Yu +1

Aesthetic image cropping aims to enhance the aesthetic quality of an image by improving its composition through spatial cropping. Previous methods often rely on saliency prediction…

cs.CV2026

NICE FACT: Diagnosing and Calibrating VLMs in Quantitative Reasoning for Kinematic Physics

Jian Lan, Zhicheng Liu, Xinpeng Wang +5

The ability to derive precise spatial and physical insights is a cornerstone of vision-language models (VLMs), yet their poor performances in related spatial intelligence tasks suc…

cs.CV2026

PAM: A Pose-Appearance-Motion Engine for Sim-to-Real HOI Video Generation

Mingju Gao, Kaisen Yang, Huan-ang Gao +13

Hand-object interaction (HOI) reconstruction and synthesis are becoming central to embodied AI and AR/VR. Yet, despite rapid progress, existing HOI generation research remains frag…

cs.CV2026

Look Before Acting: Enhancing Vision Foundation Representations for Vision-Language-Action Models

Yulin Luo, Hao Chen, Zhuangzhe Wu +10

Vision-Language-Action (VLA) models have recently emerged as a promising paradigm for robotic manipulation, in which reliable action prediction critically depends on accurately int…

cs.CV2025

DualVLA: Building a Generalizable Embodied Agent via Partial Decoupling of Reasoning and Action

Zhen Fang, Zhuoyang Liu, Jiaming Liu +7

To build a generalizable Vision-Language-Action (VLA) model with strong reasoning ability, a common strategy is to first train a specialist VLA on robot demonstrations to acquire r…