Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Adobe Firefly Reviews & Ratings
    25,051 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    41 Ratings
    Company Website
  • Compute with Hivenet Reviews & Ratings
    4 Ratings
    Company Website
  • SmartDraw Reviews & Ratings
    573 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    1,161 Ratings
    Company Website
  • Google Cloud Speech-to-Text Reviews & Ratings
    443 Ratings
    Company Website
  • IONOS Cloud GPU Servers Reviews & Ratings
    45,340 Ratings
    Company Website
  • Coursebox AI Reviews & Ratings
    101 Ratings
    Company Website
  • Vaiz Reviews & Ratings
    50 Ratings
    Company Website
  • TinyPNG Reviews & Ratings
    72 Ratings
    Company Website

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 GET3D?

We develop a three-dimensional signed distance field (SDF) alongside a textured field using two latent codes. To extract a 3D surface mesh from the SDF, we utilize DMTet, sampling the texture field at surface points for color information. Our training process includes adversarial losses centered on 2D images, employing a rasterization-based differentiable renderer to generate both RGB visuals and silhouettes. To differentiate between real and generated inputs, we introduce two distinct 2D discriminators—one dedicated to RGB images and the other to silhouettes. The entire system is structured to enable end-to-end training. As various industries shift towards creating expansive 3D virtual environments, the necessity for scalable tools capable of generating large volumes of high-quality and diverse 3D content becomes increasingly evident. Our research aims to develop robust 3D generative models that produce textured meshes, facilitating their seamless integration into 3D rendering engines for immediate deployment in a range of applications. This strategy not only addresses the challenge of scalability but also opens up new avenues for innovative uses in fields like virtual reality and gaming. Moreover, by enhancing the quality and diversity of 3D content, we aim to push the boundaries of creativity and interactivity within these immersive environments.

Media

Media

Integrations Supported

Blender

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

OpenAI

Company Location

United States

Company Website

github.com/openai/shap-e

Company Facts

Organization Name

NVIDIA

Company Location

United States

Company Website

nv-tlabs.github.io/GET3D/

Categories and Features

AI Tools

Not specified

Categories and Features

AI Tools

Not specified

Popular Alternatives

Seed3D Reviews & Ratings

Seed3D

ByteDance

Popular Alternatives

Seed3D Reviews & Ratings

Seed3D

ByteDance
Point-E Reviews & Ratings

Point-E

OpenAI
GET3D Reviews & Ratings

GET3D

NVIDIA