🌐 Project: eth-ait.github.io/Gaussian-Gar...
📜 Paper: arxiv.org/abs/2409.08189
🧑‍💻 Github: github.com/eth-ait/Gaus...

It was an amazing collaboration between @ethzurich.bsky.social and MPI-IS

Thanks to: Boxiang Rong, Wenbo Wang, michael-j-black.bsky.social, Bernhard Thomaszewski, Christina Tsalicoglou, Otmar Hilliges.

The reconstructed garments can then be combined into complex multi-garment outfits.

🔎 Here we drape five garments on top of each other and simulate them together with ContourCraft, our previous work.

Then, it optimizes the garment’s appearance. The appearance is represented by an albedo Gaussian texture and an appearance model that predicts lighting effects.

🔎 Note that the shadows and specular effects are predicted by the appearance model and are not baked into the texture.

First, the Gaussian Garments pipeline reconstructs the geometry of a garment and registers it to multi-view videos.

The registration procedure uses 3D Gaussian splatting and can successfully register highly dynamic sequences.