Synthetic Data Generation

Exploring New Frontiers

The CDRIN team generates and integrates synthetic data, an artificial alternative to real-world data, to train various models for AI and computer vision. The goal is to explore the use of synthetic data in training large neural networks through innovative applications of game engines such as Unity and Unreal, alongside 3D rendering platforms such as Blender and Omniverse. Our expertise provides practical solutions to enhance these neural networks by avoiding the challenges of sourcing, acquiring, and labeling real data, particularly medical data, and by enabling scenarios that are impossible to capture in reality.

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Solutions to Real Data Limitations

Using synthetic data provides companies with easier access to high-quality data tailored to their needs, overcoming challenges related to access, cost, reliability, quantity, and quality of real data that can hinder their AI projects.

01

Creation of Massive Database for AI

AI models, especially in computer vision, require a massive amount of data. Our techniques for generating simulated data from real-world data enable us to train these models more effectively.

02

Enhancing Photorealism

Synthetic data aids in the creation of characters and allows for the training and evaluation of AI models for character relighting and illuminated scenes.

03

Model Optimization and Creation

Development of advanced tools to create, train, and optimize AI models in real time, particularly by integrating machine learning techniques and neural networks.

04

Agility and Creativity

We offer bold and customized responses to the evolving demands of projects. We provide greater agility in the face of changes while facilitating creative processes.

05

Transfer of Multidisciplinary Expertise

With a multidisciplinary and collaborative approach, our team can transfer the skills acquired in the entertainment sector to a wide range of fields, such as the environmental and marine sciences.

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Computer Vision and Artificial Intelligence (AI)

Computer vision, in its broadest sense, allows us to perceive, analyze, recognize, and process components of visual media. Currently, computer vision is primarily achieved using AI techniques (deep learning). It is natural for the graphics and AI teams at CDRIN to collaborate and leverage synthetic data generated in game engines to train computer vision models. These models assist our partners in various industries in their innovation objectives.

With our expertise in computer vision and AI, we can help companies create new tools and products, thereby contributing to their success.

Achievements

We encompass a broad array of digital intelligence by leveraging technologies such as artificial intelligence and computer vision.

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Sharing Digital Intelligence

Our comprehensive suite of services spans applied research, experimental development, and skills transfer, bridging the gap between theoretical advancements and practical applications.
Empowering informed decision-making, streamlining operations, and gaining a competitive edge are the hallmarks of our services. They are accessible to businesses of all sizes.

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Driving Innovation in Digital Creativity

The CDRIN is fully committed to the video game, visual effects, animation, and interactive immersion industries, as well as sustainable regional development. In partnership with key players in these sectors, we conduct research and innovation projects to address the specific challenges and needs of each field. Our expertise in AI and emerging technologies enables us to be a strategic ally for businesses and creative studios, thereby energizing the digital creativity ecosystem and supporting regional economic growth.

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