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Based on our record, DALL-E seems to be a lot more popular than Google ARCore. While we know about 196 links to DALL-E, we've tracked only 8 mentions of Google ARCore. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I find Dall-E especially useful for creating illustrations to put in the headers of articles that help catch readers’ attention, and generally create blog content that stands out more to readers (and search engines). You can see examples of illustrations and the prompts used to create them on OpenAI's site (https://openai.com/research/dall-e). While it's not my space, this could be a gamechanger for those doing... Source: about 1 year ago
SD is difficult for a beginner, but if you want, I can recommend the Unstable Diskord Disfusion server there are many guides as well as NSFW image or utube videos, if u try SD I recomended download model from CIVITAI And we have a lot of free AI gen site: Https://hotpot.ai/art-generator Https://leonardo.ai/ Https://openai.com/research/dall-e. Source: about 1 year ago
This Lambda function is similar to the previous one. We use the recipe name that createCompletion API has generated in order to create an image from it by calling createImage (this API uses DALL-E models for image generation) :. - Source: dev.to / about 1 year ago
Then you look at google's SayCan and it looks about as capable now as Dalle1 did for art last year. Source: over 1 year ago
A 8-10x app would let you generate photos/gifs/video with AI either from the title of the song and/or inputing a sentence describing your visuals to generate. You could use Dall-E (https://openai.com/blog/dall-e/) or Astria (https://www.astria.ai/) for the image generation. Source: over 1 year ago
I don't know houw you would do it on ios but you should be able to do it on android if the phone supports it with.this library from google: https://developers.google.com/ar. Source: about 1 year ago
If you have any control on the choice of the source/webcam, I'd recommend using a camera that can sense depth from the start (lidar cameras, like Intel RealSense if you are building something like a commercial robot; or a consumer device with lidar capabilities like iPad Pros since 2020, because they come with SDKs to do what you want from the start. E.g. https://developer.apple.com/augmented-reality/arkit/ or... Source: about 2 years ago
You guys are right that Unity doesn't support building for arm64 Linux. It looks like the op could potentially install Android on the Raspberry Pi, which may allow them to run Android APKs built with Unity. However, AR Core is needed in order for Unity's AR functionality to work, and I suspect it would take additional work to get AR Core working on the Pi with an external camera and gyroscope. Source: over 2 years ago
If the phone doesn't support ARCore, then you would have to implement all of the world / surface detection yourself inside your application code, which is very difficult problem to solve. Source: over 2 years ago
If you're looking to build a more advanced application, there are plenty of useful resources for all major technologies. For mobile apps, the best places to get started are docs for Google ARCore and Apple ARKit. Both platforms work with popular gaming engines like Unity and Unreal Engine. - Source: dev.to / over 2 years ago
Midjourney - Midjourney lets you create images (paintings, digital art, logos and much more) simply by writing a prompt.
Apple ARKit - A framework to create Augmented Reality experiences for iOS
Writesonic - If you’ve ever been stuck for words or experienced writer’s block when it comes to coming up with copy, you know how frustrating it is.
Vuforia SDK - Vuforia is a vision-based augmented reality software platform.
ChatGPT - ChatGPT is a powerful, open-source language model.
ARToolKit - The world's most widely used tracking library for augmented reality.