Thomas Leimkühler
Most Recent Affiliation(s):
- Facebook Reality Labs, Max Planck Institute for Informatics
Learning Category: Presentation(s):
![Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold](https://history.siggraph.org/wp-content/uploads/2024/02/2023-Tech-Papers-Pan_Drag-Your-GAN-Interactive-Point-based-Manipulation-on-the-Generative-Image-Manifold-150x150.jpg)
Type: [Technical Papers]
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold Presenter(s): [Pan] [Tewari] [Leimkühler] [Liu] [Meka] [Theobalt]
[SIGGRAPH 2023]
![DeepFovea: Neural Reconstruction for Foveated Rendering and Video Compression using Learned Natural Video Statistics](https://history.siggraph.org/wp-content/uploads/2022/09/2019-Talks-Kaplanyan_DeepFovea-Neural-Reconstruction-for-Foveated-Rendering-and-Video-Compression-using-Learned-Natural-Video-Statistics-01-150x150.jpg)
Type: [Talks (Sketches)]
DeepFovea: Neural Reconstruction for Foveated Rendering and Video Compression using Learned Natural Video Statistics Presenter(s): [Kaplanyan] [Sochenov] [Leimkühler] [Okunev] [Goodall] [Rufo]
Entry No.: [58]
[SIGGRAPH 2019]
![Laplacian kernel splatting for efficient depth-of-field and motion blur synthesis or reconstruction](https://history.siggraph.org/wp-content/uploads/2023/02/2018-Technical-Papers-Leimkuhler_Laplacian-Kernel-Splating-for-Eficient-Depth-of-field-and-Motion-Blur-Synthesis-or-Reconstruction-150x150.jpg)
Type: [Technical Papers]
Laplacian kernel splatting for efficient depth-of-field and motion blur synthesis or reconstruction Presenter(s): [Leimkühler] [Seidel] [Ritschel]
Entry No.: [55]
[SIGGRAPH 2018]
Role(s):
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