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20202026
most citedLanguage Is Not All You Need: Aligning Perception with Language Models

164 citations · 458 across the 21 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

DocReward: A Document Reward Model for Structuring and Stylizing

Junpeng Liu, Yuzhong Zhao, Bowen Cao +17

Recent agentic workflows automate professional document generation but focus narrowly on textual quality, overlooking structural and stylistic professionalism, which is equally cri…

cs.CV2025

Model as a Game: On Numerical and Spatial Consistency for Generative Games

Jingye Chen, Yuzhong Zhao, Yupan Huang +5

Recent advances in generative models have significantly impacted game generation. However, despite producing high-quality graphics and adequately receiving player input, existing m…

cs.CV2025★ 1 cited

PEACE: Empowering Geologic Map Holistic Understanding with MLLMs

Yangyu Huang, Tianyi Gao, Haoran Xu +8

Geologic map, as a fundamental diagram in geology science, provides critical insights into the structure and composition of Earth's subsurface and surface. These maps are indispens…

cs.CV2023★ 2 cited

TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering

Jingye Chen, Yupan Huang, Tengchao Lv +3

The diffusion model has been proven a powerful generative model in recent years, yet remains a challenge in generating visual text. Several methods alleviated this issue by incorpo…

cs.CV2023★ 15 cited

TextDiffuser: Diffusion Models as Text Painters

Jingye Chen, Yupan Huang, Tengchao Lv +3

Diffusion models have gained increasing attention for their impressive generation abilities but currently struggle with rendering accurate and coherent text. To address this issue,…

cs.CV2022★ 9 cited

DiT: Self-supervised Pre-training for Document Image Transformer

Junlong Li, Yiheng Xu, Tengchao Lv +3

Image Transformer has recently achieved significant progress for natural image understanding, either using supervised (ViT, DeiT, etc.) or self-supervised (BEiT, MAE, etc.) pre-tra…