What is DreamzAR App? With DreamzAR AI Landscape Design App, homeowners can redesign their yard with just its photo.
How it works? Start with the photo of your yard and then select from a variety of curated garden styles like Japanese Zen Garden, Tropical Garden, Xeriscaping etc. Add garden design elements like an outdoor dining set or a pergola and let AI present creative landscaping ideas tailored to your yard.
In addition, you can describe your ideas in simple English text prompts and guide the AI model to generate novel landscaping ideas. You can use the app in two modes: 1. Let AI auto-select the yard area to work with. 2. Highlight the yard area on the photo using the built-in highlighter tool.
With #1, you can quickly generate AI designs, and with #2, you can retain full control of where you want AI to work on.
The app also offers an online landscaping ideas gallery, which is updated weekly with new inspiring design ideas.
Use Cases: If you are considering a landscaping project for your yard, you can get a good start by imagining a variety of ideas, even ones you didn’t consider previously. With DreamzAR app, you can generate hundreds of design ideas at a fraction of the cost of what’s typically charged by traditional online yard design services. Why keep browsing Pinterest or Houzz for inspiration when you can generate landscaping ideas overlaid on top of your yard’s photo? It’s the best way to think about new ideas—by visualizing them. Of course, if you want to try out completely brand new ideas, you can describe them with simple adjectives and nouns, and AI will create the designs for you.
Platforms: DreamzAR App is available online as a web-app as well as an iOS App. The web-app can be accessed through any web browser, on any operating system or any device.
Based on our record, MiniGPT-4 seems to be more popular. It has been mentiond 8 times since March 2021. 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.
Isn't there only two open multimodal LLMs, LLaVA and mini-gpt4? Source: 12 months ago
So we use MiniGPT-4 for image parsing, and yep it does return a pretty detailed (albeit not always accurate) description of the photo. You can actually play around with it on Huggingface here. Source: about 1 year ago
We use MiniGPT-4 first to interpret the image and then pass the results onto GPT-4. Hopefully, once GPT-4 makes its multi-modal functionality available, we can do it all in one request. Source: about 1 year ago
But I would like to bring up that there are some multi models(llava, miniGPT-4) that are built based on censored llama based models like vicuna. I tried several multi modal models like llava, minigpt4 and blip2. Llava has very good captioning and question answering abilities and it is also much faster than the others(basically real time), though it has some hallucination issue. Source: about 1 year ago
Https://minigpt-4.github.io/ <-- free image recognition, although not powered by true GPT-4. Source: about 1 year ago
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