no code implementations • 29 Apr 2024 • Nikita Drobyshev, Antoni Bigata Casademunt, Konstantinos Vougioukas, Zoe Landgraf, Stavros Petridis, Maja Pantic
Head avatars animated by visual signals have gained popularity, particularly in cross-driving synthesis where the driver differs from the animated character, a challenging but highly practical approach.
no code implementations • 9 Feb 2022 • Zoe Landgraf, Alexander Sorkine Hornung, Ricardo Silveira Cabral
Multi-layer perceptrons (MLP) have proven to be effective scene encoders when combined with higher-dimensional projections of the input, commonly referred to as \textit{positional encoding}.
no code implementations • ICCV 2021 • Zoe Landgraf, Raluca Scona, Tristan Laidlow, Stephen James, Stefan Leutenegger, Andrew J. Davison
At test time, our model can generate 3D shape and instance segmentation from a single depth view, probabilistically sampling proposals for the occluded region from the learned latent space.
no code implementations • 24 Feb 2020 • Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew Davison
Generally capable Spatial AI systems must build persistent scene representations where geometric models are combined with meaningful semantic labels.