G4Splat: Geometry-Guided Gaussian Splatting with Generative Prior More Experiment Results
1. Comparison with Baselines (5-View Input)
RGB
Mesh
Baseline (left) vs. Ours (right). Our method delivers more accurate geometry with fewer Gaussian floaters across both observed and unobserved regions.
Try exploring different methods, scenes, and modes (RGB/Mesh) to see the difference!
RGB
Mesh
Baseline (left) vs. Ours (right). Our method delivers more accurate geometry with fewer Gaussian floaters across both observed and unobserved regions. Try exploring different methods, scenes, and modes (RGB/Mesh) to see the difference!
2. Any-View Reconstruction
1 input view
1 input view
1 input view
5 input views
5 input views
5 input views
10 input views
10 input views
Our method shows strong generalization across diverse scenarios, including indoor and outdoor environments, unposed scenes, and even single-view inputs.
Try exploring different scenes!
1 input view
1 input view
1 input view
5 input views
5 input views
5 input views
10 input views
10 input views
Our method shows strong generalization across diverse scenarios, including indoor and outdoor environments, unposed scenes, and even single-view inputs. Try exploring different scenes!
3. Dense-View Comparison with Baselines (383-View Input)
Our method significantly outperforms the baselines even with dense-view inputs, especially in regions with strong specularities and reflections.