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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
Inception Labs is at the forefront of advancing artificial intelligence through the development of diffusion-based large language models (dLLMs), which represent a significant innovation in the field by achieving performance that is ten times faster and costs that are five to ten times lower than conventional autoregressive models. Drawing inspiration from the achievements of diffusion techniques in generating images and videos, Inception's dLLMs offer improved reasoning abilities, error correction features, and support for multimodal inputs, which collectively enhance the generation of structured and precise text. This innovative approach not only boosts efficiency but also elevates the control users have over AI outputs. With its wide-ranging applications in enterprise solutions, academic research, and content creation, Inception Labs is redefining the benchmarks for speed and effectiveness in AI-powered processes. The transformative potential of these advancements promises to reshape various industries by optimizing workflows and enhancing productivity.
API Access
Has API
API Access
Has API
Integrations
Ejentum
Mercury Coder
Mercury Edit 2
NLWeb
Pricing Details
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Free Trial
Free Version
Pricing Details
No price information available.
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
Inception Labs
Founded
2024
Country
United States
Website
www.inceptionlabs.ai/