2 citations · 3 across the 5 of their papers we have counts for
6 papers
Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering
Dongxing Mao, Jinpeng Wang, Jiahao Tang +6
Visual Autoregressive (AR) models generate images by predicting discrete tokens that are decoded by a visual tokenizer. Despite demonstrating strong overall image generation abilit…
TextEditBench: Evaluating Reasoning-aware Text Editing Beyond Rendering
Rui Gui, Yang Wan, Haochen Han +4
Text rendering has recently emerged as one of the most challenging frontiers in visual generation, drawing significant attention from large-scale diffusion and multimodal models. H…
From Charts to Code: A Hierarchical Benchmark for Multimodal Models
Jiahao Tang, Henry Hengyuan Zhao, Lijian Wu +8
We introduce Chart2Code, a new benchmark for evaluating the chart understanding and code generation capabilities of large multimodal models (LMMs). Chart2Code is explicitly designe…
Beyond Words: Advancing Long-Text Image Generation via Multimodal Autoregressive Models
Alex Jinpeng Wang, Linjie Li, Zhengyuan Yang +2
Recent advancements in autoregressive and diffusion models have led to strong performance in image generation with short scene text words. However, generating coherent, long-form t…
TextAtlas5M: A Large-scale Dataset for Dense Text Image Generation
Alex Jinpeng Wang, Dongxing Mao, Jiawei Zhang +9
Text-conditioned image generation has gained significant attention in recent years and are processing increasingly longer and comprehensive text prompt. In everyday life, dense and…
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning
Alex Jinpeng Wang, Linjie Li, Yiqi Lin +3
Training models with longer in-context lengths is a significant challenge for multimodal model due to substantial GPU memory and computational costs. This exploratory study does no…