CORDIS Project
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This project aims to automate the generation of 3D content for virtual environments using advanced machine learning techniques. By developing generative models that create 3D meshes and textures, it seeks to enhance applications in gaming, film, and design.
In recent years, we have seen a revolution of learning methods that generate highly-realistic images, such as generative adversarial neural networks, autoregressive methods, or diffusion models (e.g., DALL-E, Stable Diffusion, Runway, etc).
Unfortunately, the vast majority of these methods are tailored towards the 2D image domain, while their respective 3D counterparts 3D models that fuel computer graphics applications, and enable visually immersive experiences remain in their infancy.
In this…
TECHNISCHE UNIVERSITAET MUENCHEN
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