7 papers · 1 filter
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…
R3GW: Relightable 3D Gaussians for Outdoor Scenes in the Wild
Margherita Lea Corona, Wieland Morgenstern, Peter Eisert +1
3D Gaussian Splatting (3DGS) has established itself as a leading technique for 3D reconstruction and novel view synthesis of static scenes, achieving outstanding rendering quality…
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…
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…
Gaussian Splatting Decoder for 3D-aware Generative Adversarial Networks
Florian Barthel, Arian Beckmann, Wieland Morgenstern +2
NeRF-based 3D-aware Generative Adversarial Networks (GANs) like EG3D or GIRAFFE have shown very high rendering quality under large representational variety. However, rendering with…
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
Wieland Morgenstern, Florian Barthel, Anna Hilsmann +1
3D Gaussian Splatting has recently emerged as a highly promising technique for modeling of static 3D scenes. In contrast to Neural Radiance Fields, it utilizes efficient rasterizat…