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What is RODIN?

This groundbreaking model for 3D avatar diffusion represents a sophisticated artificial intelligence system aimed at producing highly intricate digital avatars in three-dimensional space. Users are offered the opportunity to examine these avatars from various perspectives, achieving an extraordinary standard of visual quality. By simplifying the traditionally complex practice of 3D modeling, this innovative model opens doors to fresh artistic possibilities for creators in the 3D domain. It constructs these avatars through the use of neural radiance fields, applying state-of-the-art generative methods referred to as diffusion models. The framework employs a tri-plane representation, which efficiently breaks down the neural radiance field of the avatars, enabling explicit modeling through diffusion and the rendering of images using volumetric techniques. Furthermore, the integration of 3D-aware convolution boosts computational efficiency while ensuring the preservation of diffusion modeling integrity in three-dimensional contexts. The entire avatar generation process is organized hierarchically, making use of cascaded diffusion models to support multi-scale modeling, which further sharpens the details involved in creating avatars. This significant innovation not only transforms the realm of digital avatar production but also fosters enhanced collaboration among artists and developers engaged in this evolving field, paving the way for even more innovative projects in the future.

What is ModelScope?

This advanced system employs a complex multi-stage diffusion model to translate English text descriptions into corresponding video outputs. It consists of three interlinked sub-networks: the first extracts features from the text, the second translates these features into a latent space for video, and the third transforms this latent representation into a final visual video format. With around 1.7 billion parameters, the model leverages the Unet3D architecture to facilitate effective video generation through a process of iterative denoising that starts with pure Gaussian noise. This cutting-edge methodology enables the production of engaging video sequences that faithfully embody the stories outlined in the input descriptions, showcasing the model's ability to capture intricate details and maintain narrative coherence throughout the video. Furthermore, this system opens new avenues for creative expression and storytelling in digital media.

Media

Media

Integrations Supported

01.AI
CodeQwen
Qwen
Qwen-7B
Qwen-Image
Qwen2
Qwen2-VL
Qwen2.5
Qwen2.5-Coder
Qwen2.5-Max
Qwen2.5-VL
Qwen3
Qwen3.6-27B
Qwen3.6-Max-Preview
Qwen3.7-Plus
Qwen3.8-2.4T-A95B
Qwen3.8-27B
Qwen3.8-Flash-Next
Qwen3.8-Max
Yi-Large

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

3d-avatar-diffusion.microsoft.com

Company Facts

Organization Name

Alibaba Cloud

Company Location

China

Company Website

modelscope.cn/

Categories and Features

AI Avatar Generators

Not specified

AI Tools

Not specified

Digital Human

Not specified

Categories and Features

AI Gateways

Not specified

AI Inference

Not specified

AI Tools

Not specified

AI Video Generators

Not specified

ML Model Deployment

Not specified

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