Browsing by Author "Eisemann, Martin"
Now showing items 1-5 of 5
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Game-based Transformations: A Playful Approach to Learning Transformations in Computer Graphics
Eisemann, Martin (The Eurographics Association, 2023)In this paper, we present a playful and game-based learning approach to teaching transformations in a second-year undergraduate computer graphics course. While the theoretical concepts were taught in class, the exercise ... -
Immersive Free‐Viewpoint Panorama Rendering from Omnidirectional Stereo Video
Mühlhausen, Moritz; Kappel, Moritz; Kassubeck, Marc; Wöhler, Leslie; Grogorick, Steve; Castillo, Susana; Eisemann, Martin; Magnor, Marcus (© 2023 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023)In this paper, we tackle the challenging problem of rendering real‐world 360° panorama videos that support full 6 degrees‐of‐freedom (DoF) head motion from a prerecorded omnidirectional stereo (ODS) video. In contrast to ... -
Next Event Estimation++: Visibility Mapping for Efficient Light Transport Simulation
Guo, Jerry Jinfeng; Eisemann, Martin; Eisemann, Elmar (The Eurographics Association and John Wiley & Sons Ltd., 2020)Monte-Carlo rendering requires determining the visibility between scene points as the most common and compute intense operation to establish paths between camera and light source. Unfortunately, many tests reveal occlusions ... -
Optimizing Temporal Stability in Underwater Video Tone Mapping
Franz, Matthias; Thang, B. Matthias; Sackhoff, Pascal; Scholz, Timon; Möller, Jannis; Grogorick, Steve; Eisemann, Martin (The Eurographics Association, 2023)In this paper, we present an approach for temporal stabilization of depth-based underwater image tone mapping methods for application to monocular RGB video. Typically, the goal is to improve the colors of focused objects, ... -
PlenopticPoints: Rasterizing Neural Feature Points for High-Quality Novel View Synthesis
Hahlbohm, Florian; Kappel, Moritz; Tauscher, Jan-Philipp; Eisemann, Martin; Magnor, Marcus (The Eurographics Association, 2023)This paper presents a point-based, neural rendering approach for complex real-world objects from a set of photographs. Our method is specifically geared towards representing fine detail and reflective surface characteristics ...