6 papers
Permutation Learning with Only N Parameters: From SoftSort to Self-Organizing Gaussians
Kai Uwe Barthel, Florian Barthel, Peter Eisert
Sorting and permutation learning are key concepts in optimization and machine learning, especially when organizing high-dimensional data into meaningful spatial layouts. The Gumbel…
COSY: Compositional 3DGS Synthesis for Disentangled Human Head Editing
Florian Barthel, Shalini De Mello, Koki Nagano +3
Recent 3D Gaussian Splatting (3DGS) GANs for human heads synthesize and render photorealistic 3D models in real-time and offer a vast variety in identity and appearance. However, c…
CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis
Florian Barthel, Wieland Morgenstern, Paul Hinzer +2
Recently, 3D GANs based on 3D Gaussian splatting have been proposed for high quality synthesis of human heads. However, existing methods stabilize training and enhance rendering qu…
Improving Adaptive Density Control for 3D Gaussian Splatting
Glenn Grubert, Florian Barthel, Anna Hilsmann +1
3D Gaussian Splatting (3DGS) has become one of the most influential works in the past year. Due to its efficient and high-quality novel view synthesis capabilities, it has been wid…
3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods
Milena T. Bagdasarian, Paul Knoll, Yi-Hsin Li +4
3D Gaussian Splatting (3DGS) has emerged as a cutting-edge technique for real-time radiance field rendering, offering state-of-the-art performance in terms of both quality and spee…
Creating Sorted Grid Layouts with Gradient-based Optimization
Kai Uwe Barthel, Florian Tim Barthel, Peter Eisert +2
Visually sorted grid layouts provide an efficient method for organizing high-dimensional vectors in two-dimensional space by aligning spatial proximity with similarity relationship…