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20242026
most citedAutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving

2 citations · 2 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models

Wenyan Cong, Yiqing Liang, Yancheng Zhang +7

Spatial intelligence, encompassing 3D reconstruction, perception, and reasoning, is fundamental to applications such as robotics, aerial imaging, and extended reality. A key enable…

cs.CV2025

Mastering Regional 3DGS: Locating, Initializing, and Editing with Diverse 2D Priors

Lanqing Guo, Yufei Wang, Hezhen Hu +4

Many 3D scene editing tasks focus on modifying local regions rather than the entire scene, except for some global applications like style transfer, and in the context of 3D Gaussia…

cs.CV2025

Martian World Model: Controllable Video Synthesis with Physically Accurate 3D Reconstructions

Longfei Li, Zhiwen Fan, Wenyan Cong +10

Synthesizing realistic Martian landscape videos is crucial for mission rehearsal and robotic simulation. However, this task poses unique challenges due to the scarcity of high-qual…

cs.CV2025

Demystifying the Visual Quality Paradox in Multimodal Large Language Models

Shuo Xing, Lanqing Guo, Hongyuan Hua +5

Recent Multimodal Large Language Models (MLLMs) excel on benchmark vision-language tasks, yet little is known about how input visual quality shapes their responses. Does higher per…

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…