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Description

Recent advancements in the realm of text-to-image synthesis have emerged from diffusion models that have been trained on vast amounts of image-text pairs. To successfully transition this methodology to 3D synthesis, it would necessitate extensive datasets of labeled 3D assets alongside effective architectures for denoising 3D information, both of which are currently lacking. In this study, we address these challenges by leveraging a pre-existing 2D text-to-image diffusion model to achieve text-to-3D synthesis. We propose a novel loss function grounded in probability density distillation that allows a 2D diffusion model to serve as a guiding principle for the optimization of a parametric image generator. By implementing this loss in a DeepDream-inspired approach, we refine a randomly initialized 3D model, specifically a Neural Radiance Field (NeRF), through gradient descent to ensure its 2D renderings from various angles exhibit a minimized loss. Consequently, the 3D representation generated from the specified text can be observed from multiple perspectives, illuminated with various lighting conditions, or seamlessly integrated into diverse 3D settings. This innovative method opens new avenues for the application of 3D modeling in creative and commercial fields.

Description

Ideogram AI serves as a generator that transforms text into images. Its innovative technology relies on a novel kind of neural network known as a diffusion model, which is trained using an extensive collection of images, enabling it to produce new visuals that bear resemblance to those within the training set. In contrast to traditional generative AI frameworks, diffusion models possess the additional capability of creating images that adhere to particular artistic styles, expanding their utility in creative applications. This versatility makes Ideogram AI a valuable tool for artists and designers looking to explore new visual ideas.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AIVideo.com No 
Adobe Firefly No 
Aerogram No 
Anything No 
ClipTrend.ai No 
Comfy Cloud No 
Fuser No 
Haimeta No 
Ideogram 4.0 No 
Ideogram 4.5 No 
ImageGPT.io No 
Magai No 
Magnific No 
Model Playground No 
Monet AI No 
PXZ AI No 
Poe No 
Synexa No 
Unite AI No 
WaveSpeedAI No 

Integrations

AIVideo.com Yes 
Adobe Firefly Yes 
Aerogram Yes 
Anything Yes 
ClipTrend.ai Yes 
Comfy Cloud Yes 
Fuser Yes 
Haimeta Yes 
Ideogram 4.0 Yes 
Ideogram 4.5 Yes 
ImageGPT.io Yes 
Magai Yes 
Magnific Yes 
Model Playground Yes 
Monet AI Yes 
PXZ AI Yes 
Poe Yes 
Synexa Yes 
Unite AI Yes 
WaveSpeedAI Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

DreamFusion

Website

dreamfusion3d.github.io

Vendor Details

Company Name

Ideogram AI

Founded

2023

Country

United States

Website

ideogram.ai

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