Transform your room effortlessly. Simply upload a picture of your existing space, and let Room Reinvented work its magic. Explore over 30 unique styles, ranging from Minimalism to Baroque, and experiment with over 20 stunning color palettes. Organize your ideas in a convenient lookbook to keep your vision organized and fresh.
If your room is already furnished, give it a fresh look with a redecoration. If it's currently empty, use virtual staging to visualize your room before making any furniture or decoration purchases. Seeking inspiration? Let our AI design a random room for you, and choose the styles that resonate with your vision. Room Reinvented makes room transformation a breeze!
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Room Reinvented's answer
High quality outputs, lots of styles, possibility to use color palettes
Room Reinvented's answer
Order all your ideas in lookbooks, making it easy to work on different rooms an styles
Room Reinvented's answer
Generative AI, Python
Room Reinvented's answer
Artists with a vision for their space, design students honing their craft, or anyone eager to see their unique room sketches transformed into realistic interiors. Real estate agents, property managers, home sellers, or anyone looking to market an unfurnished property. Homeowners looking for a refresh, renters seeking a personal touch, or anyone curious about the potential of their living space.
Room Reinvented's answer
Started as a side project to explore the possibilities of generative AI. Solo developer behind it.
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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