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Streamline Your 3D Workflow with AI-Powered Techniques

What you will learn

3D scene understanding: AI can be used to analyze and understand the relationships between different objects in a 3D scene.

Automatic generation of 3D models: AI can be used to automatically generate 3D models of objects or scenes using input images or video.

3D object recognition: AI can be used to recognize and classify different types of 3D objects within a scene.

3D model compression: AI can be used to optimize the size and complexity of 3D models, making them easier to transmit and render.

3D model enhancement: AI can be used to improve the quality and realism of 3D models, by adding details or correcting imperfections.

3D model personalization: AI can be used to customize 3D models for individual users, by changing their appearance or behavior based on user preferences.

3D model animation: AI can be used to generate realistic animations of 3D models, by controlling their movements and actions.

3D model search and retrieval: AI can be used to search for and retrieve specific 3D models from a large database, based on their characteristics or attributes.

3D model labeling: AI can be used to automatically label 3D models with relevant metadata, making it easier to search and categorize them.

3D model prediction: AI can be used to predict the appearance or behavior of 3D models in different scenarios, helping designers to evaluate and optimize their

Description

This course will provide an overview of the ways in which artificial intelligence (AI) can be used to enhance 3D modeling and visualization. Through a combination of lectures, hands-on exercises, and real-world examples, participants will learn the following 10 ways to use AI for 3D:


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  1. 3D scene understanding: AI can be used to analyze and understand the relationships between different objects in a 3D scene, and to generate a semantic understanding of the scene.
  2. Automatic generation of 3D models: AI can be used to automatically generate 3D models of objects or scenes using input images or video.
  3. 3D object recognition: AI can be used to recognize and classify different types of 3D objects within a scene.
  4. 3D model compression: AI can be used to optimize the size and complexity of 3D models, making them easier to transmit and render.
  5. 3D model enhancement: AI can be used to improve the quality and realism of 3D models, by adding details or correcting imperfections.
  6. 3D model personalization: AI can be used to customize 3D models for individual users, by changing their appearance or behavior based on user preferences.
  7. 3D model animation: AI can be used to generate realistic animations of 3D models, by controlling their movements and actions.
  8. 3D model search and retrieval: AI can be used to search for and retrieve specific 3D models from a large database, based on their characteristics or attributes.
  9. 3D model labeling: AI can be used to automatically label 3D models with relevant metadata, making it easier to search and categorize them.
  10. 3D model prediction: AI can be used to predict the appearance or behavior of 3D models in different scenarios, helping designers to evaluate and optimize their designs.
English
language

Content

The Way

Overview
3D Scene Understanding
3D Model Generation
3D Model Optimisation
3D Model Compression
3D Model Particle Effects
3D Model Animation
3D Model Prediction
3D Model Seach & Retrieval
3D Model Labelling