OpenAI Shap-E AI technology Top Builders
Explore the top contributors showcasing the highest number of OpenAI Shap-E AI technology app submissions within our community.
Shap-E directly generates the parameters of implicit functions that can be rendered as both textured meshes and neural radiance fields
|conditional generative model for 3D assets
OpenAI Shap-E Tutorials
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OpenAI Shap-E AI technology Hackathon projects
Discover innovative solutions crafted with OpenAI Shap-E AI technology, developed by our community members during our engaging hackathons.
Polisplexity Cities Token Models and Simulation
Our project, 'Polisplexity Cities Token Models and Simulation', envisions a transformative approach to urban planning and management. By integrating blockchain token models with Polisplexity's advanced AI, VR, and simulation capabilities, we aim to create a decentralized, transparent, and highly interactive urban ecosystem. At the core of our idea is the use of digital tokens as a medium for various urban transactions and engagements. These tokens represent access to city services, resources, and participation in governance. They facilitate a new economic model within the urban landscape, encouraging sustainable practices and equitable resource distribution. Our simulation models, powered by Polisplexity's AI and VR technologies, will allow urban planners, policymakers, and citizens to visualize and interact with various scenarios in real-time. This immersive experience provides a deeper understanding of the potential impacts of different token distribution and usage strategies on the city's socio-economic fabric. Smart contracts play a crucial role in our project, automating the management and exchange of tokens. This ensures efficiency, transparency, and security in transactions, aligning with the principles of decentralized governance. Our project also focuses on inclusivity and accessibility. We are committed to designing token models that are equitable and provide equal opportunities for all city residents to access urban services and participate in decision-making processes. Through 'Polisplexity Cities Token Models and Simulation', we aim to demonstrate a futuristic yet feasible approach to city planning. Our project is not just about technological innovation; it's about shaping sustainable, resilient, and inclusive urban futures, where community engagement and well-being are at the forefront of urban development.
Polisplexity Creating AI Gen Simulated Cities
Polisplexity: Pioneering City Evolution with Innovative Technologies. We're not just urban planners; we're city makers and testers. Our platform harnesses AI, mathematical modeling, and immersive VR/AR for dynamic city simulations. Technological Innovation: Our AI-driven simulations provide real-world insights, from infrastructure to social dynamics. Mathematical modeling ensures comprehensive analysis. Immersive Decision-Making: With VR/AR, stakeholders step inside their policies, witnessing impacts firsthand. This immersive approach revolutionizes urban evolution. Innovative Business Model: Polisplexity's business model encompasses subscriptions, education, technology licensing, and a user-generated model marketplace. Target Market: We engage urban planners, architects, developers, researchers, and enthusiasts. Our platform fosters collaboration and knowledge exchange, reshaping cities for the future. Polisplexity leads city evolution. Join us in crafting vibrant, inclusive cities, where decisions are data-driven, and communities actively shape their future.
Polisplex Gen AI for Decoding Complex Cities
Polisplexity is a groundbreaking platform focused on redefining how we understand and manage cities using open generative AI, code simulations, Virtual Reality (VR), and mathematical models. The platform excels at capturing the complexity of modern cities, which includes not only urban infrastructure but also social networks, culture, and human behavior. Our core technology leverages open generative AI to create smart agents that mimic real-world behaviors. These agents populate our code simulations, offering dynamic, insightful models of city environments. Mathematical models add structural integrity to these simulations, increasing their accuracy and predictive power. VR enhances the user experience by offering an immersive journey through these data-driven city models. Financially, Polisplexity is well-positioned in the market. We estimate a Total Addressable Market (TAM) of $4 billion and a near-term Serviceable Obtainable Market (SOM) of $16 million. Our business model includes a multi-tier subscription service catering to different stakeholders, such as planners, policymakers, and researchers, along with customized consultancy services. The societal implications of Polisplexity are significant. As cities continue to grow, so does the stress on infrastructure, social systems, and resources. Polisplexity helps mitigate these challenges by enabling accurate, data-driven policy and planning. This contributes to more sustainable resource allocation and improved quality of life. The platform also fosters social inclusion, effective governance, and cultural integration. In essence, Polisplexity aims not just to optimize cities but to make them better, more humane places to live.
Revolutionizing mindfulness through immersive 3D meditation and 3D AI driven models. In an era overwhelmed by distractions and stress, we introduce a groundbreaking 3D meditation platform. Harnessing advanced technologies like Point-e, Sharp-e, GET3D by Nvidia, and Stable Dreamfusion, we curate personalized, immersive meditation experiences. These technologies craft detailed 3D environments from text, images, or 3D mesh data, offering users a transformative and deep-engaged journey into mindfulness. By integrating AI, our platform adjusts and tailors each session to the user's preferences and emotional needs, elevating the standard of digital meditation.
Aiming to streamline the creation of 3D mesh (.obj) files from a given picture - we first use a object detection model (yolo-v8) to extract each bounding box(region of interests). Then we remove background from each bounding box by using rembg library . Lastly we create a 3d model from the images produced using the shap-e library . This project can be used by artists / game developers to easily recreate 3d mesh of any object they have seen in a picture . Currently , command line app has been created . I plan to deploy a flask app with a Vue.js frontend in the future . Libraries used in the project - shap-e , ultralytics (yolo-v8) and rembg (background removal)
Transforming Text into Tangible 3D Objects
Our team harnessed the power of OpenAI's shap-e and gpt4all technologies to transform mere text into tangible 3D objects, all within a tight timeframe. But what sets our project apart is our commitment to sustainability and resourcefulness. We utilized recycled plastic filament as our raw material and self-assembled 3D printers for production. This project is not just about technological innovation. It's about envisioning a future where personalized consumer goods, from furniture to fashion items, can be produced on demand using sustainable materials. Join us as we delve deeper into this exciting journey of combining AI, 3D printing, and sustainability to revolutionize the manufacturing landscape.