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What is Shap-E?

The Shap-E code and model have officially been released, enabling users to design 3D objects from either textual prompts or images. By supplying a text input or a synthetic image devoid of background, users can successfully generate a 3D model, with the latter option yielding the best results. Furthermore, users have the ability to import 3D models or trimeshes, create a range of multiview renders, and convert them into a point cloud, which can subsequently be transformed back into a visual representation. To take full advantage of these capabilities, it is crucial to have Blender version 3.3.1 or a later version installed. This advancement paves the way for innovative applications that merge 3D modeling with artificial intelligence, offering endless creative opportunities for users. The versatility of Shap-E marks a significant step forward in the realm of digital design.

What is DreamFusion?

Recent progress in text-to-image synthesis has been driven by diffusion models trained on vast collections of image-text pairs. To effectively adapt this approach for 3D synthesis, there is a critical need for large datasets of labeled 3D assets and efficient architectures capable of denoising 3D information, both of which are currently insufficient. This research aims to tackle these obstacles by utilizing an established 2D text-to-image diffusion model to facilitate text-to-3D synthesis. We introduce a groundbreaking loss function based on probability density distillation, enabling a 2D diffusion model to guide the optimization of a parametric image generator effectively. By applying this loss within a DeepDream-inspired framework, we enhance a randomly initialized 3D model, specifically a Neural Radiance Field (NeRF), through gradient descent, ensuring its 2D renderings from various angles demonstrate reduced loss. As a result, the generated 3D representation can be viewed from multiple viewpoints, illuminated under different lighting conditions, or integrated seamlessly into a variety of 3D environments. This innovative approach not only addresses existing limitations but also paves the way for the broader application of 3D modeling in both creative and commercial sectors, potentially transforming industries reliant on visual content.

Media

Media

Integrations Supported

Blender

Integrations Supported

Blender

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OpenAI

Company Location

United States

Company Website

github.com/openai/shap-e

Company Facts

Organization Name

DreamFusion

Company Website

dreamfusion3d.github.io

Categories and Features

Categories and Features

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