WildGaussians - 3D Gaussian Splatting in the Wild
WildGaussians is a novel approach to 3D Gaussian Splatting that handles occlusions and appearance changes in in-the-wild scenes. By leveraging robust DINO features and integrating an appearance modeling module within 3DGS, our method achieves state-of-the-art results.
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Product Information
Key Features of WildGaussians - 3D Gaussian Splatting in the Wild
State-of-the-art results, real-time rendering speed, and robust handling of occlusions and appearance changes.
Appearance Modeling
Enables training on images with varying appearance and achieves the same inference speed as 3DGS.
Uncertainty Modeling
Uses a DINO-based uncertainty predictor to remove occluders and achieve better results.
Real-time Rendering
Matches the real-time rendering speed of 3DGS while achieving state-of-the-art results.
Robust Handling of Occlusions
Uses a DINO-based uncertainty predictor to remove occluders and achieve better results.
In-the-wild Scene Handling
Handles in-the-wild scenes with varying appearance and occlusions.
Use Cases of WildGaussians - 3D Gaussian Splatting in the Wild
Handling occlusions and appearance changes in in-the-wild scenes.
Achieving state-of-the-art results in 3D Gaussian Splatting.
Enabling real-time rendering for in-the-wild scenes.
Removing occluders and achieving better results.
Pros and Cons of WildGaussians - 3D Gaussian Splatting in the Wild
Pros
- State-of-the-art results
- Real-time rendering speed
- Robust handling of occlusions and appearance changes
Cons
- May require additional computational resources for training.
- May require fine-tuning for specific use cases.
How to Use WildGaussians - 3D Gaussian Splatting in the Wild
- 1
Train the WildGaussians model on a dataset of in-the-wild scenes.
- 2
Use the trained model to render in-the-wild scenes in real-time.
- 3
Fine-tune the model for specific use cases if necessary.
WildGaussians - 3D Gaussian Splatting in the Wild
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