Projects
Here a collection of projects I have been working on outside my job. Also check my technical blog on Medium and my GitHub for more.
IEEE HKN Talks
HKN Talks is a series created and hosted by IEEE Eta Kappa Nu Nu Alpha. We invite experts from the industry and academia to give talks on IEEE related topics. We publish the talks on our YouTube Channel to make them publically available for everyone.
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DeepSaki TensorFlow Add-On
DeepSaki is an add-on to TensorFlow. It provides a variaty of custom classes ranging from activation functions to entire models, helper functions to facilitate connectiong to your compute HW and many more! The project started as fun project to learn and to collect the code snippets I was using in my projects. Now it has been transformed into a modern SW package featuring CI/CD and a documentation.
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3D Gaussian Splatting
This project is ment to showcase some sublementary materials for my blog post on 3D Gaussian Splatting.
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RGB-D-Fusion - Image Conditioned Depth Diffusion of Humanoid Subjects
We present RGB-D-Fusion, a multi-modal conditional denoising diffusion probabilistic model to generate high resolution depth maps from low-resolution monocular RGB images of humanoid subjects. RGB-D-Fusion first generates a low-resolution depth map using an image conditioned denoising diffusion probabilistic model and then upsamples the depth map using a second denoising diffusion probabilistic model conditioned on a low-resolution RGB-D image. We further introduce a novel augmentation technique, depth noise augmentation, to increase the robustness of our super-resolution model.
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Adversarial Domain Adaptation of Synthetic 3D Data to Train a Volumetric Video Generator Model
In cooperation with Volograms we synthetically generated training data from an existing (similar but different) data distribution by performing adversarial domain adaptation using an improved CycleGAN to train a single-view reconstruction model for VR/AR applications.
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