most citedMinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

2 citations · 3 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CV2025

REArtGS++: Generalizable Articulation Reconstruction with Temporal Geometry Constraint via Planar Gaussian Splatting

Di Wu, Liu Liu, Anran Huang +5

Articulated objects are pervasive in daily environments, such as drawers and refrigerators. Towards their part-level surface reconstruction and joint parameter estimation, REArtGS…

astro-ph.IM20251 cited

AstroMMBench: A Benchmark for Evaluating Multimodal Large Language Models Capabilities in Astronomy

Jinghang Shi, Xiaoyu Tang, Yang Huang +4

Astronomical image interpretation presents a significant challenge for applying multimodal large language models (MLLMs) to specialized scientific tasks. Existing benchmarks focus…

cs.CV2025

MetaCaptioner: Towards Generalist Visual Captioning with Open-source Suites

Zhenxin Lei, Zhangwei Gao, Changyao Tian +12

Generalist visual captioning goes beyond a simple appearance description task, but requires integrating a series of visual cues into a caption and handling various visual domains.…

cs.CV2025

Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding

Yi Xin, Qi Qin, Siqi Luo +29

We introduce Lumina-DiMOO, an open-source foundational model for seamless multi-modal generation and understanding. Lumina-DiMOO sets itself apart from prior unified models by util…

cs.CV2025

ViCO: A Training Strategy towards Semantic Aware Dynamic High-Resolution

Long Cui, Weiyun Wang, Jie Shao +6

Existing Multimodal Large Language Models (MLLMs) suffer from increased inference costs due to the additional vision tokens introduced by image inputs. In this work, we propose Vis…

cs.CV2025

InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models

Haomin Wang, Jinhui Yin, Qi Wei +12

General SVG modeling remains challenging due to fragmented datasets, limited transferability of methods across tasks, and the difficulty of handling structural complexity. In respo…