Now showing items 1-3 of 3

    • Flexible SVBRDF Capture with a Multi-Image Deep Network 

      Deschaintre, Valentin; Aittala, Miika; Durand, Fredo; Drettakis, George; Bousseau, Adrien (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Empowered by deep learning, recent methods for material capture can estimate a spatially-varying reflectance from a single photograph. Such lightweight capture is in stark contrast with the tens or hundreds of pictures ...
    • MesoGAN: Generative Neural Reflectance Shells 

      Diolatzis, Stavros; Novak, Jan; Rousselle, Fabrice; Granskog, Jonathan; Aittala, Miika; Ramamoorthi, Ravi; Drettakis, George (© 2023 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)
      We introduce MesoGAN, a model for generative 3D neural textures. This new graphics primitive represents mesoscale appearance by combining the strengths of generative adversarial networks (StyleGAN) and volumetric neural ...
    • Video-Based Rendering of Dynamic Stationary Environments from Unsynchronized Inputs 

      Thonat, Theo; Aksoy, Yagiz; Aittala, Miika; Paris, Sylvain; Durand, Fredo; Drettakis, George (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Image-Based Rendering allows users to easily capture a scene using a single camera and then navigate freely with realistic results. However, the resulting renderings are completely static, and dynamic effects - such as ...