Drettakis Lab

Research focus

ERC Advanced Grant · 2023

Empowering Neural Rendering Methods with Physically-Based Capabilities

While long restricted to an elite of expert digital artists, 3D content creation has recently been greatly simplified by deep learning. Neural representations of 3D objects have revolutionized real-world capture from photos, while generative models are starting to enable 3D object synthesis from text prompts. These methods use differentiable neural rendering that allows efficient optimization of the powerful and expressive ``soft'' neural representations, but ignores physically-based principles, and thus has no guarantees on accuracy, severely limiting the utility of the resulting content. Differentiable physically-based rendering on the other hand can produce 3D assets with physics-based…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.