Artur Grigorev
@arturgrigorev.bsky.social
PhD Student, ETH Zurich and MPI-IS Tübingen. Working on digital garments.
🔗 dolorousrtur.github.io
🔗 dolorousrtur.github.io
🌐 Project: eth-ait.github.io/Gaussian-Gar...
📜 Paper: arxiv.org/abs/2409.08189
🧑💻 Github: github.com/eth-ait/Gaus...
📜 Paper: arxiv.org/abs/2409.08189
🧑💻 Github: github.com/eth-ait/Gaus...
March 20, 2025 at 3:51 PM
🌐 Project: eth-ait.github.io/Gaussian-Gar...
📜 Paper: arxiv.org/abs/2409.08189
🧑💻 Github: github.com/eth-ait/Gaus...
📜 Paper: arxiv.org/abs/2409.08189
🧑💻 Github: github.com/eth-ait/Gaus...
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.
🔎 Here we drape five garments on top of each other and simulate them together with ContourCraft, our previous work.
March 20, 2025 at 3:51 PM
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.
🔎 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.
🔎 Note that the shadows and specular effects are predicted by the appearance model and are not baked into the texture.
March 20, 2025 at 3:51 PM
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.
🔎 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.
The registration procedure uses 3D Gaussian splatting and can successfully register highly dynamic sequences.
March 20, 2025 at 3:51 PM
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.
The registration procedure uses 3D Gaussian splatting and can successfully register highly dynamic sequences.
🎉🎉🎉 Happy to announce that the code for our paper Gaussian Garments is now public!
Link: github.com/eth-ait/Gaus...
Gaussian Garments uses a combination of 3D meshes and Gaussian splatting to reconstruct photorealistic simulation-ready digital garments from multi-view videos. 🧵
Link: github.com/eth-ait/Gaus...
Gaussian Garments uses a combination of 3D meshes and Gaussian splatting to reconstruct photorealistic simulation-ready digital garments from multi-view videos. 🧵
March 20, 2025 at 3:46 PM
🎉🎉🎉 Happy to announce that the code for our paper Gaussian Garments is now public!
Link: github.com/eth-ait/Gaus...
Gaussian Garments uses a combination of 3D meshes and Gaussian splatting to reconstruct photorealistic simulation-ready digital garments from multi-view videos. 🧵
Link: github.com/eth-ait/Gaus...
Gaussian Garments uses a combination of 3D meshes and Gaussian splatting to reconstruct photorealistic simulation-ready digital garments from multi-view videos. 🧵