NEWSLETTER
EdTech Week 2024: Images and sounds
I had the opportunity to attend Educational technology Week this year, held at Civic Hall in New York City. The ...
Tag: Images
InstructG2I: A Graph Context-Aware Stable Diffusion Model for Synthesizing Images from Graphs with Multimodal Attributes
Multimodal attribute graphs (MMAG) have received little attention despite their versatility in image generation. MMAGs represent relationships between entities with ...
Google is about to update Street View images in dozens of countries
Google is preparing to show updated Street View imagery in nearly 80 countries. In a now-deleted blog post seen by ...
Gender Detection with OpenCV and Roboflow in Python
Introduction Gender detection from facial images is one of the many fascinating applications of computer vision. In this project, we ...
LightOn Releases FC-AMF-OCR Dataset: A Dataset of 9.3 Million Financial Document Images with Full OCR Annotations
The release of the FC-AMF-OCR dataset The release of LightOn marks a major milestone in optical character recognition (OCR) and ...
Pixtral-12B: Mistral AI's first multimodal model
Introduction Mistral has released its first multimodal model, the Pixtral-12B-2409. This model is based on Mistral’s 12 billionth parameter, Nemo ...
Bridging Images and Text – a Survey of VLMs
IntroductionLarge Language Models or LLMs, have been all the rage since the advent of ChatGPT in 2022. This is largely ...
Here's how Google will start helping you figure out which images are AI-generated
Google is attempting to be more transparent about whether content was created or modified using generative ai (GAI) tools. After ...
Improving 3D reconstruction of sparse views with LM-Gaussian: leveraging large model priors for high-quality scene synthesis from limited images
Recent advances in sparse-view 3D reconstruction have focused on new view synthesis and scene representation techniques. Methods such as Neural ...
MedUnA: Efficient classification of medical images through unsupervised adaptation of vision and language models
Supervised learning in medical image classification faces challenges due to the scarcity of labeled data, as expert annotations are difficult ...
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