3D Reconstruction
3D Gaussian Splatting for Real-Time Radiance Field Rendering
Introduced by Kerbl et al. in 3D Gaussian Splatting for Real-Time Radiance Field RenderingIt represents the scene with 3D Gaussians that preserve desirable properties of continuous volumetric radiance fields for scene optimization while avoiding unnecessary computation in empty space.
Source: 3D Gaussian Splatting for Real-Time Radiance Field RenderingPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Novel View Synthesis | 143 | 18.33% |
| 3D Reconstruction | 84 | 10.77% |
| 3D Scene Reconstruction | 35 | 4.49% |
| Neural Rendering | 28 | 3.59% |
| Pose Estimation | 25 | 3.21% |
| Autonomous Driving | 22 | 2.82% |
| Scene Understanding | 22 | 2.82% |
| 3D Generation | 18 | 2.31% |
| Depth Estimation | 17 | 2.18% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
