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🎉 Our paper "PGC: Physics-Based Gaussian Cloth from a Single Pose" has been accepted to #CVPR2025! 👕 PGC uses a PBR + 3DGS representation to render simulation-ready garments under novel lighting and motion, all from a single static frame. ✨Web: 🧵1/4

Michelle Guo

1,174 subscribers

10,858 görüntüleme • 1 yıl önce •via X (Twitter)

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Michelle Guo profil fotoğrafı

Michelle Guo1 yıl önce

👗 Reconstructing photorealistic, simulation-ready garments is important for AR/VR. However, many methods require multi-frame tracking, which is expensive and remains a challenging problem. 💡 Instead, PGC reconstructs garments from a single static frame. 🧵2/4

Michelle Guo profil fotoğrafı

Michelle Guo1 yıl önce

After optimizing 3D splats and PBR appearance, we combine the best of both worlds -- 🔸A highpass of 3DGS (for pose-independent, volumetric details) 🔸A lowpass of PBR (for novel shading and illumination). 🧵 3/4

Michelle Guo profil fotoğrafı

Michelle Guo1 yıl önce

See our project website for more details! This work would not have been possible without the incredible help and support from Matt, Igor, @sarafianosn, Hsiao-yu, @HalimiOshri, @BozicAljaz, @psyth91, @jiajunwu_cs, Karen, @TuurStuyck, @egorlarionov 🧵 4/4

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Gaussian Garments: Reconstructing Simulation-Ready Clothing with Photorealistic Appearance from Multi-View Video Contribution quote from the paper: In summary, our main contributions are • a comprehensive pipeline for reconstructing the shape, appearance, and behavior of real-world garments using Gaussian splatting, • an algorithm for registering garment meshes to multi- view videos with an optimization procedure based on Gaussian splatting, and • a Gaussian Garment representation that combines triangle meshes with Gaussian textures to capture photorealistic appearance and can be used as a fully controllable 3D asset.

Gaussian Garments: Reconstructing Simulation-Ready Clothing with Photorealistic Appearance from Multi-View Video Contribution quote from the paper: In summary, our main contributions are • a comprehensive pipeline for reconstructing the shape, appearance, and behavior of real-world garments using Gaussian splatting, • an algorithm for registering garment meshes to multi- view videos with an optimization procedure based on Gaussian splatting, and • a Gaussian Garment representation that combines triangle meshes with Gaussian textures to capture photorealistic appearance and can be used as a fully controllable 3D asset.

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We’re bringing Gaussian Splats to After Effects. We built a FREE, open-source plugin that lets you render 3DGS directly in AE. From splat to final frame—inside After Effects. 🎬

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Happy to announce the results of our latest research, which takes 3D Gaussian Splatting to the next level: "A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets," which has been accepted at #SIGGRAPH2024!🎉 Find it here:

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🏗️ Build #3D scenes from a single input view based on the latest #NVIDIAResearch paper accepted at #ICCV2023. 👀 This 3D-aware #generativeAI model can build diverse and plausible views. research paper: project page:

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