Shap-E Description
This is the formal release of the Shap-E code and model, which allows users to create 3D objects based on textual descriptions or images. You can generate a 3D model by providing a text prompt or a synthetic view image, and for optimal results, it's recommended to eliminate the background from the input image. Additionally, you can load 3D models or trimeshes, produce a series of multiview renders, and encode them into a point cloud, which can then be reverted to a visual format. To utilize these features effectively, ensure that you have Blender version 3.3.1 or a more recent version installed on your system. This opens up exciting possibilities for integrating 3D modeling with AI-driven creativity.
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Lenso.ai reverse image search is more accurate and efficient than traditional image searches. Lenso.ai, an AI-powered reverse imaging tool, analyzes the image you are searching for quickly, identifying only the best matches. Searching by image is easy with lenso.ai, and it doesn't require any special skills or knowledge.
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Google AI Studio
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Point-E
Recent advancements in text-based 3D object generation have yielded encouraging outcomes; however, leading methods generally need several GPU hours to create a single sample, which is a stark contrast to the latest generative image models capable of producing samples within seconds or minutes. In this study, we present a different approach to generating 3D objects that enables the creation of models in just 1-2 minutes using a single GPU. Our technique initiates by generating a synthetic view through a text-to-image diffusion model, followed by the development of a 3D point cloud using a second diffusion model that relies on the generated image for conditioning. Although our approach does not yet match the top-tier quality of existing methods, it offers a significantly faster sampling process, making it a valuable alternative for specific applications. Furthermore, we provide access to our pre-trained point cloud diffusion models, along with the evaluation code and additional models, available at this https URL. This contribution aims to facilitate further exploration and development in the realm of efficient 3D object generation.
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Virtuall
Virtuall serves as a cutting-edge, cloud-based 3D collaboration workspace designed specifically for contemporary studios, creators, and teams augmented by AI, effectively merging human creativity with generative AI workflows within a single platform. It provides comprehensive asset and project management capabilities, featuring tools for task assignment, production oversight, cloud storage solutions, version control, tagging systems, revision logs, and auditing functions. Artists can rapidly create 3D models from sketches, images, text, or multi-perspective inputs, evaluate outcomes from various AI engines, and export either high or low polygon models suited for diverse applications. The platform allows users to render, preview, annotate, share, and scrutinize models conveniently through their browser, benefiting from seamless version control, integration with Slack and Jira, instant sharing options, and support for over 400 format combinations in full 3D conversion. Enhanced collaboration tools are built-in, offering features like real-time annotations, organized feedback processes, stakeholder reviews, and insights into production performance, ensuring that pipelines are managed with transparency and efficiency. This innovative workspace not only elevates creative workflows but also fosters teamwork among users, ultimately leading to more refined and effective project outcomes.
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Pricing
Pricing Starts At:
Free
Free Version:
Yes
Integrations
Company Details
Company:
OpenAI
Headquarters:
United States
Website:
github.com/openai/shap-e
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support
Shap-E Features and Options
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