TE
TechEcho
Home24h TopNewestBestAskShowJobs
GitHubTwitter
Home

TechEcho

A tech news platform built with Next.js, providing global tech news and discussions.

GitHubTwitter

Home

HomeNewestBestAskShowJobs

Resources

HackerNews APIOriginal HackerNewsNext.js

© 2025 TechEcho. All rights reserved.

VQA and Image Chunking for MLLMs (GPT-4V and Gemini)

1 pointsby joanfihuabout 1 year ago

1 comment

joanfihuabout 1 year ago
Handling large images with resolutions higher than 2048x2048 remains a challenge for MLLMs.<p>Image chunking splits large images into multiple smaller images. Then the model processes each image and uses information from all of them to answer a question.<p>I managed to get it to work with a 3840px X 20294px web page screenshot. It also works with documents that have figures (tables, charts, illustrations, etc).