Linus Franke

I'm a PhD Student under the supervision of Marc Stamminger at the Chair of Visual Computing of the Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany.

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Research

Research interest in computer graphics, perceptual rendering, computer vision and machine learning. Currently primar focus in neural rendering and novel view synthesis. Representative papers are highlighted.

Implicit volume-based scene reconstruction combined with point rendering for high detail novel-view synthesis.

A perspective-correct and view-consistent approach for 3D Gaussian splatting accelerated through hybrid transparency.

Foveated radiance field rendering with smooth Gaussian peripheral and neural point splats for crisp foveal rendering.

Dense and multi-view consitent depth maps optimized from an monoscopically estimated initialization.

Rendering and optimizing neural point clouds via trilinear point splatting and tiny neural networks for novel-view synthesis.

Improving point-based novel view synthesis quality by completing point cloud with 3D error volumes from 2D error maps.

Point-based novel view synthesis without per scene preprocessing or training using neural image based rendering. (*) Denotes equal contribution.

Novel view synthesis on live RGB-D streams with feedback during capturing, robust to slam loop closures.

Rendering only relevant fragments for parallax-based light field displays through device-tailored projection matrices.

Point-based differentiable one-pixel point rendering for automatic scene calibration and high-quality novel view synthesis.

Foveated Rendering via temporal forward reprojection for fast, imperceptible VR rendering.

A multi-layered depth of field method for solving partial occlusion in real-time rendering.

Exploration of generative programming for efficient CUDA kernels in depth of field rendering.

Single-layer tiled splatting for depth of field rendering.

Thanks to Jon Barron for his great template.