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cs.CV2026
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…
cs.CV2024
Analyzing the Internals of Neural Radiance Fields
Lukas Radl, Andreas Kurz, Michael Steiner +1
Modern Neural Radiance Fields (NeRFs) learn a mapping from position to volumetric density leveraging proposal network samplers. In contrast to the coarse-to-fine sampling approach…
cs.CV2024
LAENeRF: Local Appearance Editing for Neural Radiance Fields
Lukas Radl, Michael Steiner, Andreas Kurz +1
Due to the omnipresence of Neural Radiance Fields (NeRFs), the interest towards editable implicit 3D representations has surged over the last years. However, editing implicit or hy…