most citedCan Large Vision Language Models Read Maps Like a Human?

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cs.CV2026

PSDesigner: Automated Graphic Design with a Human-Like Creative Workflow

Xincheng Shuai, Song Tang, Yutong Huang +2

Graphic design is a creative and innovative process that plays a crucial role in applications such as e-commerce and advertising. However, developing an automated design system tha…

cs.CV2025

VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction

Zhiwen Fan, Jian Zhang, Renjie Li +15

The rapid advancement of Large Multimodal Models (LMMs) for 2D images and videos has motivated extending these models to understand 3D scenes, aiming for human-like visual-spatial…

cs.CV2025★ 1 cited

Can Large Vision Language Models Read Maps Like a Human?

Shuo Xing, Zezhou Sun, Shuangyu Xie +6

In this paper, we introduce MapBench-the first dataset specifically designed for human-readable, pixel-based map-based outdoor navigation, curated from complex path finding scenari…

cs.CV2025

UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving

Yuping Wang, Xiangyu Huang, Xiaokang Sun +4

We introduce UniOcc, a comprehensive, unified benchmark and toolkit for occupancy forecasting (i.e., predicting future occupancies based on historical information) and occupancy pr…

cs.CV2025

STAMP: Scalable Task And Model-agnostic Collaborative Perception

Xiangbo Gao, Runsheng Xu, Jiachen Li +3

Perception is crucial for autonomous driving, but single-agent perception is often constrained by sensors' physical limitations, leading to degraded performance under severe occlus…