6 papers
Confidence-Based Mesh Extraction from 3D Gaussians
Lukas Radl, Felix Windisch, Andreas Kurz +3
Recently, 3D Gaussian Splatting (3DGS) greatly accelerated mesh extraction from posed images due to its explicit representation and fast software rasterization. While the addition…
Autoregressive Appearance Prediction for 3D Gaussian Avatars
Michael Steiner, Zhang Chen, Alexander Richard +3
A photorealistic and immersive human avatar experience demands capturing fine, person-specific details such as cloth and hair dynamics, subtle facial expressions, and characteristi…
A LoD of Gaussians: Unified Training and Rendering for Ultra-Large Scale Reconstruction with External Memory
Felix Windisch, Thomas Köhler, Lukas Radl +4
Gaussian Splatting has emerged as a high-performance technique for novel view synthesis, enabling real-time rendering and high-quality reconstruction of small scenes. However, scal…
SOF: Sorted Opacity Fields for Fast Unbounded Surface Reconstruction
Lukas Radl, Felix Windisch, Thomas Deixelberger +4
Recent advances in 3D Gaussian representations have significantly improved the quality and efficiency of image-based scene reconstruction. Their explicit nature facilitates real-ti…
AAA-Gaussians: Anti-Aliased and Artifact-Free 3D Gaussian Rendering
Michael Steiner, Thomas Köhler, Lukas Radl +3
Although 3D Gaussian Splatting (3DGS) has revolutionized 3D reconstruction, it still faces challenges such as aliasing, projection artifacts, and view inconsistencies, primarily du…
VRSplat: Fast and Robust Gaussian Splatting for Virtual Reality
Xuechang Tu, Lukas Radl, Michael Steiner +3
3D Gaussian Splatting (3DGS) has rapidly become a leading technique for novel-view synthesis, providing exceptional performance through efficient software-based GPU rasterization.…