Startup Doji is launching its app designed to make apparel try-ons both fun and social. It does so by creating your avatar and then serving you different looks that may inspire you to buy new clothes. The company uses its own diffusion models to create its personalized avatars and to make clothing try-ons more realistic. Doji, which is still in invite-only mode, guides users through the process of taking six selfies and uploading two full-body images to create an avatar. The app takes roughly 30 minutes to create an avatar, then notifies you when the avatar is ready. You can also choose your favorite brands during onboarding to see more items from them in the app. By default, the app shows you clothes that might suit you through a series of looks with your avatar. You can scroll through the different tops and bottoms listed on the site and tap on them to create a new look for your avatar. Plus, you can post a link to apparel from the web to check if it would suit you. While the app lets you try on different clothes to see how certain apparel would look on you, it can’t yet tell you how an item would fit. The team is also working to make the virtual try-on process faster and integrate the buying process in the app, instead of directing users to external sites.
Internet Roadtrip allows a thousand users to simultaneously simulate a virtual road trip using Google Street View by voting on what direction for the “car” to drive, to honk the horn or change the radio station
Internet Roadtrip is an MMORTG (massive multiplayer online road trip game). Neal Agarwal, the game’s creator, calls it a “road-trip simulator.” Every 10 seconds, viewers vote on what direction for the “car” to drive on Google Street View — or, you can vote to honk the horn or change the radio station. The direction with the most votes gets clicked, and the car continues on its scenic path to … wherever the chat decides to go. Internet Roadtrip is reminiscent of Twitch Plays Pokémon, an iconic stream from over 10 years ago in which viewers voted on what button to press as part of a collective Pokémon Red game. But Internet Roadtrip is far less chaotic — both because only a thousand or so people are playing at a time, and because we have better organizational tools than we did in the Twitch Plays Pokémon era . Progress on the virtual roadtrip is slow. The car moves at a pace slower than walking. Discord moderators have had to temper newcomers’ expectations, explaining that it’s pointless to suggest driving to Las Vegas from Maine, since it would likely take almost 10 months of real-world time to get there. The same goes for Alaska, but it’s not just a matter of time that’s the issue. “Google Street View works by taking multiple pictures and putting them together. In some areas of the roads leading to Alaska, there are gaps in pictures available and so we would get stuck there, were we to go to these roads,” the Discord FAQ reads. “All potential roads to Alaska have these gaps. We checked.”
Spatial computing platform Mawari to power complex, immersive 3D experiences using a decentralized infrastructure that ties the earnings of node operators directly to the network revenue and usage
Spatial computing pioneer Mawari announced its latest initiative — i.e. Decentralized Infrastructure Offering (DIO) — to help meet the rapidly growing demand for AI-powered immersive content globally. The company has invited compute resource owners worldwide to become ‘Guardian Node Operators’ within its ecosystem, thereby contributing directly to a decentralized infrastructure supporting next-generation digital experiences. Mawari’s infrastructure has been designed specially to power complex 3D experiences — including lifelike 3D Avatar AI agents — which are then streamed efficiently to devices worldwide. In an apparent departure from typical crypto-based node offerings, the Mawari team has emphasized that DIO has been built on the principles of genuine utility, fairness, and long-term sustainability, with the earnings of its Guardian Node Operators being directly tied to actual network revenue and usage. In this regard, the firm’s reward structure has been made to primarily centre around its ‘network monitoring rewards’ module, which represents 20% of Mawari’s total network revenue. Not only that, ‘early operator incentives’ have also been crafted, providing token allocations for node licenses maintained with high reliability and uptime during the initial growth phase. Lastly, features like flat pricing across all node license tiers, options for third-party node management alongside other long-term opportunities are meant to ensure that the ecosystem is able to deliver seamless utility even as the XR market continues to expand.
AR app facilitates ageing-in-place, uses LiDAR scanners to identify potential accessibility issues through a step-by-step assessment and digital overlays
The University of Wisconsin-Madison is developing a mobile application called the Augmented Reality Home Assessment Tool (ARHAT) that uses AR and smartphone features like LiDAR scanners to help people assess their homes and identify potential accessibility issues as they age. The app “takes users through a step-by-step process that measures relevant parts of a living space and offers suggestions to make it more accessible. While using it, a user is prompted to select one of 14 limitations they may have — including visual impairment, mobility challenges or balance issues — and “then select the areas of the home to evaluate. Follow-up questions and prompts for measurements are tailored to the user’s answers, with the option to add notes and take photos. The app then employs a LiDAR scanner to measure a home’s elements and to visualize recommended changes or renovations. By superimposing visuals in the space as seen through the device’s camera, the tool will instantly let you know if something in the home is an accessibility barrier. The assessment then creates a detailed report listing identified barriers and potential issues with Americans with Disabilities Act (ADA) compliance, and makes recommendations on how to best address them. The researchers believe ARHAT can be a faster and more accurate alternative to traditional manual home assessments, potentially saving time and costs for healthcare agencies and systems.