Pre-training: 在大规模数据集上对模型进行初步训练,以学习通用的特征表示,有助于模型在后续任务中更快收敛、表现更好。 Interleaved Image-Text Data: 图像和文本以自由格式、非严格配对的方式混合在一起的数据,这种数据在互联网上非常普遍。 Latent Compress: 一种潜在压缩学习的方法,通过最大化因果注意力模型的输...
image-text pairs datasets: LAION:laion.ai/laion-400-open Conceptual Captions:github.com/google-resea ALIGN:未开源 COYO:huggingface.co/datasets DataComp:datacomp.ai/ 2 创建多模态网页文档数据集2.1 收集HTML文件 数据收集过程从考虑数据集创建时可用的最新25个Common Crawl(commoncrawl.org/)数据转储开始。
For inference, we provide an example inference script./inference.pyand the corresponding configuration file./mm_interleaved/configs/release/mm_inference.yaml, which natively support interleaved image and text generation. Simply run the following command: ...
练习时长两年半✅图文交错大模型来了 | 论文简读第108期💡对图文交错(image-text interleaved)数据的处理能力是多模态大模型皇冠上一颗耀眼的宝石,囿于这一类型公开数据的稀缺,开源MLLM的图文交错性能大多不甚理想。❓缺乏文档型业务数据的条件下,怎样高效生产图文交错形式的预训练数据呢?✅浙大和阿里达摩院的...
Anoleis the firstopen-source,autoregressive, andnativelytrained large multimodal model capable ofinterleaved image-text generation(without usingstable diffusion). While it builds upon the strengths ofChameleon, Anole excels at the complex task of generating coherent sequences of alternating text and imag...
These models often fall short when faced with complex comprehension tasks, which involve navigating through a plethora of irrelevant and potentially misleading information in both text and image forms. To bridge this gap, we introduce a new, more demanding task known as Interleaved Image-Text ...
Interleaved text/image deep mining on a large-scale radiology database for automated image interpretation. The Journal of Machine Learning Research, 17(1):3729-3759, 2016.H. Shin, L. Lu, L. Kim, A. Seff, J. Yao, and R. Summers. In- terleaved text/image deep mining on a large-...
OmniCorpus-CW: sourced from Chinese internet resources, will be availiable in OpenDataLab platform. OmniCorpus-YT: samples Youtube video frames as images and collects subtitles as texts. The image-text interleaved documents are recommanded for the following usages: ...
Models designed to generate interleaved text and images face challenges in ensuring consistency within and across these modalities. To address these challenges, we present ISG, a comprehensive evaluation framework for interleaved text-and-image generation. ISG leverages a scene graph structure to capture...
While current LLM chatbots like GPT-4V bridge the gap between human instructions and visual representations to enable text-image generations, they still lack efficient alignment methods for high-fidelity performance on multiple downstream tasks. In this paper, we propose \textbf{M2Chat}, a novel un...