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most citedDataGovBench: Benchmarking LLM Agents for Real-World Data Governance Workflows

1 citations · 1 across the 22 of their papers we have counts for

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Showing 2025 · cs.CVShow all

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cs.CV2025

Are We Ready for RL in Text-to-3D Generation? A Progressive Investigation

Yiwen Tang, Zoey Guo, Kaixin Zhu +11

Reinforcement learning (RL), earlier proven to be effective in large language and multi-modal models, has been successfully extended to enhance 2D image generation recently. Howeve…

cs.CV2025

Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks

Kai Zeng, Zhanqian Wu, Kaixin Xiong +12

Recent advancements in driving world models enable controllable generation of high-quality RGB videos or multimodal videos. Existing methods primarily focus on metrics related to g…

cs.CV2025

Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models

Junbo Niu, Yuanhong Zheng, Ziyang Miao +8

Vision-Language Models (VLMs) face significant challenges when dealing with the diverse resolutions and aspect ratios of real-world images, as most existing models rely on fixed, l…

cs.CV2025

Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification

Tianyi Bai, Zengjie Hu, Fupeng Sun +7

Multi-modal large language models (MLLMs) have achieved remarkable capabilities by integrating visual perception with language understanding, enabling applications such as image-gr…

cs.CV2025

WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and Scenes

Ling Yang, Kaixin Zhu, Juanxi Tian +5

With the rapid development of 3D reconstruction technology, research in 4D reconstruction is also advancing, existing 4D reconstruction methods can generate high-quality 4D scenes.…

cs.CV2025

Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Yang Shi, Jiaheng Liu, Yushuo Guan +12

Long-context video understanding in multimodal large language models (MLLMs) faces a critical challenge: balancing computational efficiency with the retention of fine-grained spati…

cs.CV2025

Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks

Hailong Guo, Bohan Zeng, Yiren Song +3

Image-based virtual try-on (VTON) aims to generate a virtual try-on result by transferring an input garment onto a target person's image. However, the scarcity of paired garment-mo…