no code implementations • 16 Apr 2024 • Florian Barthel, Arian Beckmann, Wieland Morgenstern, Anna Hilsmann, Peter Eisert
By training a decoder that maps implicit NeRF representations to explicit 3D Gaussian Splatting attributes, we can integrate the representational diversity and quality of 3D GANs into the ecosystem of 3D Gaussian Splatting for the first time.
1 code implementation • 19 Dec 2023 • Wieland Morgenstern, Florian Barthel, Anna Hilsmann, Peter Eisert
In this paper, we introduce a compact scene representation organizing the parameters of 3D Gaussian Splatting (3DGS) into a 2D grid with local homogeneity, ensuring a drastic reduction in storage requirements without compromising visual quality during rendering.
1 code implementation • 8 Dec 2023 • Florian Barthel, Anna Hilsmann, Peter Eisert
Current 3D GAN inversion methods for human heads typically use only one single frontal image to reconstruct the whole 3D head model.
no code implementations • 5 Sep 2023 • Julian Lorenz, Florian Barthel, Daniel Kienzle, Rainer Lienhart
We construct a new panoptic scene graph dataset and a set of metrics that are designed as a benchmark for the predictive performance especially on rare predicate classes.