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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
Identify images that have been AI-generated, manipulated, or are deep fakes. Our platform provides a range of tools designed to assist users in comprehending how images are created through artificial intelligence. Users can determine whether an image is AI-generated, identify the specific AI model used, and pinpoint the areas of the image that are artificial. Additionally, we offer the ability to assess the probability that a given image was produced by AI. Illuminarty utilizes a variety of computer vision techniques to evaluate the likelihood of an image originating from publicly available AI generation models. Furthermore, users can also gauge the probability of AI involvement in a specific text. Our system employs multiple natural language processing methods to analyze the text and highlight sections most likely generated by AI. We are also developing a web browser extension that will enable users to utilize our detection tools seamlessly while browsing online. This extension aims to enhance digital literacy and awareness regarding the authenticity of online content.
API Access
Has API
API Access
Has API
Integrations
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Integrations
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Pricing Details
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Free Trial
Free Version
Pricing Details
$10 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DreamFusion
Website
dreamfusion3d.github.io
Vendor Details
Company Name
Illuminarty
Country
United States
Website
illuminarty.ai/en/