activity
20232026
most citedDreamLLM: Synergistic Multimodal Comprehension and Creation

15 citations · 40 across the 20 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.CV2024★ 6 cited

General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

Haoran Wei, Chenglong Liu, Jinyue Chen +9

Traditional OCR systems (OCR-1.0) are increasingly unable to meet people's usage due to the growing demand for intelligent processing of man-made optical characters. In this paper,…

cs.CV2024

DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation

Yuang Peng, Yuxin Cui, Haomiao Tang +7

Personalized image generation holds great promise in assisting humans in everyday work and life due to its impressive ability to creatively generate personalized content across var…

cs.CV2024★ 2 cited

Focus Anywhere for Fine-grained Multi-page Document Understanding

Chenglong Liu, Haoran Wei, Jinyue Chen +7

Modern LVLMs still struggle to achieve fine-grained document understanding, such as OCR/translation/caption for regions of interest to the user, tasks that require the context of t…

cs.CV2024

OneChart: Purify the Chart Structural Extraction via One Auxiliary Token

Jinyue Chen, Lingyu Kong, Haoran Wei +6

Chart parsing poses a significant challenge due to the diversity of styles, values, texts, and so forth. Even advanced large vision-language models (LVLMs) with billions of paramet…

cs.CV2024

ShapeLLM: Universal 3D Object Understanding for Embodied Interaction

Zekun Qi, Runpei Dong, Shaochen Zhang +5

This paper presents ShapeLLM, the first 3D Multimodal Large Language Model (LLM) designed for embodied interaction, exploring a universal 3D object understanding with 3D point clou…

cs.CV2024★ 1 cited

Small Language Model Meets with Reinforced Vision Vocabulary

Haoran Wei, Lingyu Kong, Jinyue Chen +6

Playing Large Vision Language Models (LVLMs) in 2023 is trendy among the AI community. However, the relatively large number of parameters (more than 7B) of popular LVLMs makes it d…