The only catch is that you’ll need a Discord account to make your own spectacular art.
One of the more evocative platforms for AI art, Midjourney, has now opened to everyone in beta mode.
This is the second time that the platform has opened to all as a beta. On July 18, the platform opened up for 24 hours. In an email sent out to Midjourney beta testers on Tuesday, however, founder David Holz wrote that the “Midjourney beta is now open to everyone.” Read More
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Tag Archives: Image Recognition
Commercial image-generating AI raises all sorts of thorny legal issues
This week, OpenAI granted users of its image-generating AI system, DALL-E 2, the right to use their generations for commercial projects, like illustrations for children’s books and art for newsletters. The move makes sense, given OpenAI’s own commercial aims — the policy change coincided with the launch of the company’s paid plans for DALL-E 2. But it raises questions about the legal implications of AI like DALL-E 2, trained on public images around the web, and their potential to infringe on existing copyrights. Read More
Meta’s latest generative AI system creates stunning images from sketches and text
Meta Platforms Inc. today unveiled an advanced “generative artificial intelligence system” that’s designed to help artists better showcase their creativity.
The system, called “Make-A-Scene,” is meant to demonstrate how AI has the potential to empower anyone to bring their imagination to life. The user can simply describe and illustrate their vision through a combination of text descriptions and freeform sketches, and the AI will come up with a stunning representation of it. Read More
DALL-E Mini Is the Internet’s Favorite AI Meme Machine
Hugging Face, a company that hosts open source artificial intelligence projects, saw traffic to an AI image-generation tool called DALL-E Mini skyrocket.
The outwardly simple app, which generates nine images in response to any typed text prompt, was launched nearly a year ago by an independent developer. But after some recent improvements and a few viral tweets, its ability to crudely sketch all manner of surreal, hilarious, and even nightmarish visions suddenly became meme magic. Behold its renditions of “Thanos looking for his mom at Walmart,” “drunk shirtless guys wandering around Mordor,” “CCTV camera footage of Darth Vader breakdancing,” and “a hamster Godzilla in a sombrero attacking Tokyo.” Read More
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Google engineer identifies anonymous faces in WWII photos with AI facial recognition
Walking past the countless photos of Holocaust survivors and victims at Warsaw’s POLIN Museum of the History of Polish Jews in 2016, New York-native Daniel Patt was haunted by the possibility that he was passing the faces of his own relatives without even knowing it.
For Patt, a 40-year-old software engineer now working for Google, that sort of conundrum presented the potential for a creative solution. And so he set to work creating and developing From Numbers to Names (N2N), an artificial intelligence-driven facial recognition platform that can scan through photos from prewar Europe and the Holocaust, linking them to people living today. Read More
Tackling multiple tasks with a single visual language model
One key aspect of intelligence is the ability to quickly learn how to perform a new task when given a brief instruction. For instance, a child may recognise real animals at the zoo after seeing a few pictures of the animals in a book, despite differences between the two. But for a typical visual model to learn a new task, it must be trained on tens of thousands of examples specifically labelled for that task. If the goal is to count and identify animals in an image, as in “three zebras”, one would have to collect thousands of images and annotate each image with their quantity and species. This process is inefficient, expensive, and resource-intensive, requiring large amounts of annotated data and the need to train a new model each time it’s confronted with a new task. As part of DeepMind’s mission to solve intelligence, we’ve explored whether an alternative model could make this process easier and more efficient, given only limited task-specific information.
Today, in the preprint of our paper, we introduce Flamingo, a single visual language model (VLM) that sets a new state of the art in few-shot learning on a wide range of open-ended multimodal tasks. This means Flamingo can tackle a number of difficult problems with just a handful of task-specific examples (in a “few shots”), without any additional training required. Flamingo’s simple interface makes this possible, taking as input a prompt consisting of interleaved images, videos, and text and then output associated language. Read More
Object Detection State of the Art 2022
Object detection has been a hot topic ever since the boom of Deep Learning techniques. This article goes over the most recent state of the art object detectors.
First we will start with an introduction to the topic of object detection itself and it’s key metrics.
The evolution of object detectors began with Viola Jones detector which was used for detection in real-time. Traditionally, object detection algorithms used hand-crafted features to capture relevant information from images and a structured classifier to deal with spatial structures. Read More
AI program DALL-E mini prompts some truly cursed images
If you’ve seen some slightly distorted images on Twitter recently, it’s not just reality continuing to collapse on itself. An open AI program called DALL-E mini has overtaken Twitter in the last week, churning out a surreal stream of warped art.
DALL-E mini is developer Boris Dayma’s take on the the separate DALL-E program, which was released earlier this year. It produces a series of images based on text prompts, like the original program. Read More
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