📂 Avatars 👁 922 views 🕐 May 28, 2026

WildGaussians

WildGaussians is a novel approach to handle occlusions and appearance changes with.

WildGaussians is a novel approach to handle occlusions and appearance changes with 3D Gaussian Splatting (3DGS), designed for researchers and developers working with in-the-wild scenes. It integrates an appearance modeling module within 3DGS, leveraging robust DINO features to achieve state-of-the-art results. By extending 3DGS with appearance modeling, WildGaussians enables training on images with varying appearance, such as those captured at different times of the day, and demonstrates real-time rendering speed comparable to 3DGS. This approach allows for smooth interpolation between different appearances of the same scene and effectively removes occluders using a DINO-based uncertainty predictor.

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Features
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Appearance Modeling
enables training on images with varying appearance, such as those captured at different times of the day, and demonstrates real-time rendering speed comparable to 3DGS
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Uncertainty Modeling
uses a DINO-based uncertainty predictor to remove occluders and improve rendering accuracy
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DINO Features
leverages robust DINO features to achieve state-of-the-art results in handling occlusions and appearance changes
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Real-time Rendering
achieves real-time rendering speed comparable to 3DGS, making it suitable for applications requiring fast rendering
Verdict
Best forTeams doing Avatars work who need consistent output without a steep learning curve.
Skip ifYou only need this once or twice; the subscription cost won't pay off for occasional use.
✓Achieves state-of-the-art results in handling occlusions and appearance changes, outperforming 3DGS and NeRF baselines
✓Enables real-time rendering speed comparable to 3DGS, making it suitable for applications requiring fast rendering
✓Effectively removes occluders using a DINO-based uncertainty predictor, improving rendering accuracy
✕May require significant computational resources for training and rendering, particularly for complex scenes
✕Limited to handling in-the-wild scenes with appearance and dynamic changes, may not be suitable for other types of scenes
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Frequently Asked Questions
WildGaussians is a novel approach to 3D Gaussian Splatting that handles occlusions and appearance changes using an appearance modeling module and DINO features. It achieves state-of-the-art results and real-time rendering speed comparable to 3DGS.
WildGaussians achieves state-of-the-art results in handling occlusions and appearance changes, enables real-time rendering speed, and effectively removes occluders using a DINO-based uncertainty predictor.
WildGaussians may require significant computational resources for training and rendering, and is limited to handling in-the-wild scenes with appearance and dynamic changes.
WildGaussians outperforms 3DGS and NeRF baselines in handling occlusions and appearance changes, and achieves real-time rendering speed comparable to 3DGS.
WildGaussians can be used in applications such as novel view synthesis, image interpolation, and computer vision, particularly in scenarios requiring state-of-the-art results in handling occlusions and appearance changes.
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WildGaussians
WildGaussians
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