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How can you use artificial intelligence and machine learning in 3D design collaboration?

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3D design collaboration is a process that involves multiple stakeholders working together on a shared digital model, such as a product, a building, or a game. It can be challenging to coordinate feedback, iterate on ideas, and optimize performance across different platforms and devices. That's where artificial intelligence and machine learning can help. In this article, you'll learn how these technologies can enhance your 3D design collaboration workflow and outcomes.

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Juan Campdera

Creativity & Design for Beauty Brands | CEO at Aktiva
Fandy Maulana Syah Rizal

VP System & Innovation Management in EPC Company

1 AI and ML basics

Artificial intelligence (AI) is the ability of machines to perform tasks that normally require human intelligence, such as recognition, reasoning, and decision making. Machine learning (ML) is a subset of AI that enables machines to learn from data and improve their performance without explicit programming. AI and ML can be applied to various aspects of 3D design, such as modeling, rendering, animation, and simulation.

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Mohamed Hussian Alkady

Architect Project Engineer I Engineer's Degree in Architecture
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As an architect familiarize yourself with the basics of AI and ML technologies. Understand how they work, their capabilities, and their potential applications in the field of architecture and design. This knowledge will help you identify the right tools and techniques to incorporate into your design processes.

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2 AI and ML for 3D modeling

3D modeling is the process of creating a digital representation of an object or a scene using geometric shapes, textures, and materials. AI and ML can help you automate some of the tedious and repetitive tasks involved in 3D modeling, such as generating realistic textures, lighting, and shadows, or creating variations of the same model. For example, you can use an AI tool like Adobe Substance 3D to create and edit photorealistic materials and textures for your 3D models. Or you can use an ML tool like Polygana to generate 3D models from sketches or images.

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Juan Campdera

Creativity & Design for Beauty Brands | CEO at Aktiva
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The creation of assets that we will use to map or compose our 3D can be easily generated in AI. We can generate textures, backgrounds, and countless specific mappings, adapting them to our needs in a specific and personalized way. Until now, we had to do this through searches in image banks, for example, or internet searches, both of which are very inefficient processes over which we have no control.

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Fandy Maulana Syah Rizal

VP System & Innovation Management in EPC Company
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In terms of BIM 3D Modelling. One of the key challenges in clash detection lies in the lack of historical data stored during the clash check process. However, Machine Learning steps in to fill this gap. After the clash check is initiated and clashes are identified, the ML model analyzes the changes made to the 3D model to predict the resolution status of each clash. This predictive capability becomes particularly valuable in scenarios where clash generation does not inherently store the history of clash checks. This not only streamlines the clash detection process but also provides a proactive approach to identifying potential issues before they escalate.

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Mohamed Hussian Alkady

Architect Project Engineer I Engineer's Degree in Architecture
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AI and ML algorithms can help streamline and enhance the 3D rendering process. By supporting Ai by adding a keywords to get rendered images, you can develop techniques in Ai prompt that automatically generate realistic textures, lighting, and materials. This can significantly speed up the rendering process and improve the visual quality of your designs.

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3 AI and ML for 3D rendering

3D rendering is the process of converting a 3D model into a 2D image or video that can be viewed on a screen or a device. AI and ML can help you speed up the rendering process and improve the quality and realism of your 3D images and videos. For example, you can use an AI tool like NVIDIA Omniverse to render your 3D scenes in real time and collaborate with other designers on the same platform. Or you can use an ML tool like StyleGAN to create realistic and stylized 3D faces from random inputs.

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4 AI and ML for 3D animation

3D animation is the process of creating the illusion of movement and expression for your 3D models using keyframes, curves, and rigs. AI and ML can help you simplify and enhance the 3D animation process by generating natural and realistic motions, gestures, and emotions for your 3D characters. For example, you can use an AI tool like Adobe Character Animator to animate your 3D characters using your webcam and microphone. Or you can use an ML tool like DeepMotion to create lifelike 3D animations from motion capture data.

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5 AI and ML for 3D simulation

3D simulation is the process of creating a virtual environment that mimics the physical and behavioral aspects of the real world, such as gravity, collisions, and interactions. AI and ML can help you create more immersive and interactive 3D simulations by adding intelligence and complexity to your virtual agents, objects, and scenarios. For example, you can use an AI tool like Unity ML-Agents to train your 3D agents to learn from their own actions and experiences. Or you can use an ML tool like Sim4CV to simulate realistic and diverse 3D scenes for computer vision applications.

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6 AI and ML for 3D feedback

3D feedback is the process of collecting and analyzing the responses and opinions of your target audience, clients, or collaborators on your 3D design. AI and ML can help you gather and interpret 3D feedback more efficiently and effectively by using natural language processing, sentiment analysis, and data visualization. For example, you can use an AI tool like Miro to create and share interactive 3D feedback boards with your team and stakeholders. Or you can use an ML tool like FeedbackFruits to generate insights and recommendations from your 3D feedback data.

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Mohamed Hussian Alkady

Architect Project Engineer I Engineer's Degree in Architecture
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AI and ML can assist in analyzing feedback and user preferences related to architectural designs.By extracting keywords from clients need, extracting valuable insights and identifying patterns or trends. AI models can analyze user behavior and preferences to generate personalized design recommendations or suggest modifications based on past user interactions.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Mohamed Hussian Alkady

Architect Project Engineer I Engineer's Degree in Architecture
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By embracing AI and ML in 3D interior and exterior architecture collaboration, architects and designers can streamline their workflows, enhance design visualization, optimize performance, and create more client-centric and sustainable architectural solutions.

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How can you use artificial intelligence and machine learning in 3D design collaboration?

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1 AI and ML basics

2 AI and ML for 3D modeling

3 AI and ML for 3D rendering

4 AI and ML for 3D animation

5 AI and ML for 3D simulation

6 AI and ML for 3D feedback

7 Here’s what else to consider

Design

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How can you use artificial intelligence and machine learning in 3D design collaboration?

1

2

3

4

5

6

7

1 AI and ML basics

2 AI and ML for 3D modeling

3 AI and ML for 3D rendering

4 AI and ML for 3D animation

5 AI and ML for 3D simulation

6 AI and ML for 3D feedback

7 Here’s what else to consider

Design

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