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20182024
most citedOpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

71 citations · 240 across the 19 of their papers we have counts for

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9 papers · 1 filter

cs.CV2024★ 1 cited

MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Xuehai He, Weixi Feng, Kaizhi Zheng +11

Multimodal Language Language Models (MLLMs) demonstrate the emerging abilities of "world models" -- interpreting and reasoning about complex real-world dynamics. To assess these ab…

cs.CV2024

Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models

Wanrong Zhu, Jennifer Healey, Ruiyi Zhang +2

Recent advancements in instruction-following models have made user interactions with models more user-friendly and efficient, broadening their applicability. In graphic design, non…

cs.CV2024

List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs

An Yan, Zhengyuan Yang, Junda Wu +8

Set-of-Mark (SoM) Prompting unleashes the visual grounding capability of GPT-4V, by enabling the model to associate visual objects with tags inserted on the image. These tags, mark…

cs.CV2023★ 10 cited

GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation

An Yan, Zhengyuan Yang, Wanrong Zhu +9

We present MM-Navigator, a GPT-4V-based agent for the smartphone graphical user interface (GUI) navigation task. MM-Navigator can interact with a smartphone screen as human users,…

cs.CV2023★ 71 cited

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Anas Awadalla, Irena Gao, Josh Gardner +13

We introduce OpenFlamingo, a family of autoregressive vision-language models ranging from 3B to 9B parameters. OpenFlamingo is an ongoing effort to produce an open-source replicati…

cs.CV2023★ 52 cited

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Weixi Feng, Wanrong Zhu, Tsu-jui Fu +6

Attaining a high degree of user controllability in visual generation often requires intricate, fine-grained inputs like layouts. However, such inputs impose a substantial burden on…