Vincent Lordier@vincent_lordier956

Text2Room is a groundbreaking innovation that redefines the process of 3D content creation. This transformative method harnesses the power of pre-trained 2D text-to-image models to generate room-scale textured 3D meshes from simple text prompts. Through an iterative scene generation process, Text2Room renders 3D meshes from diverse camera angles and seamlessly fuses missing details using advanced algorithms, resulting in immersive and captivating environments. What sets Text2Room apart is its two-stage viewpoint selection strategy – the Generation Stage creates the main scene layout, while the Completion Stage intelligently fills gaps, ensuring a complete and coherent 3D representation. By democratizing 3D content creation, Text2Room eliminates complexities and accelerates the process, making it accessible to a wide range of industries including AR/VR content, gaming, and architectural visualization. Text2Room isn't just a product; it's a creative revolution that empowers users to turn their imagination into tangible, interactive experiences. With limitless applications and an ever-growing market demand for immersive 3D content, Text2Room stands at the forefront of innovation, shaping the future of content creation.

Transformers are context-learning neural networks. They learn by tracking relationships in sequential data, for example, words in sentences. You might know them as some of the best AI models in the market - OpenAI’s GPT-3 and Cohere In our 3-day Hackathon, organized along with the Swiss AI Association, you’ll use context-learning neural networks to build solutions with people from all around the globe and have an opportunity to pitch your AI Prototypes worldwide. Jump in to learn more about harnessing the power of Transformers!

A new text-to-image model called Stable Diffusion is set to change the game once again ⚡️. Stable Diffusion is a latent diffusion model that is capable of generating detailed images from text descriptions. It can also be used for tasks such as inpainting, outpainting, and image-to-image translations. Join us for a epic stable diffusion makers event 11-13 November 👊

⌚ 60-hour Hackathon to build AI apps with cutting-edge 3D generative models by OpenAI, Nvidia and Stable Diffusion 💡 Experiment with Point-e, Sharp-e, GET3D, Stable Diffusion's Dreamfusion 🚀 Build a fully functional AI app under the hackathon's tight timeline! 👥 Find teammates and get mentor support throughout the event