WildGaussians: 3D Gaussian Splatting in the Wild
A novel method, WildGaussians, enhances 3D scene reconstruction for in-the-wild data by combining DINO features and appearance modeling with 3D Gaussian Splatting. It outperforms NeRFs and 3DGS in handling dynamic scenes.
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The paper titled "WildGaussians: 3D Gaussian Splatting in the Wild" introduces a novel approach called WildGaussians to address challenges in handling in-the-wild data for 3D scene reconstruction. While traditional methods like NeRFs excel in controlled environments, they struggle with dynamic scenes. WildGaussians combines robust DINO features and an appearance modeling module within 3D Gaussian Splatting (3DGS) to achieve state-of-the-art results in handling occlusions and appearance changes. This new method matches the real-time rendering speed of 3DGS while outperforming both NeRFs and 3DGS in managing in-the-wild data. By integrating these components into a simple architectural framework, WildGaussians demonstrates significant advancements in 3D scene reconstruction, particularly in scenarios with occlusions, dynamic objects, and varying illumination.
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8 commentsTruly an outlier ;)
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