SSIM
====

# SSIM

## Incoming relations

- **uses_metric** → 2D Gaussian Splatting for Geometrically Accurate Radiance Fields _(Paper)_
- **uses_metric** → AGG: Amortized Generative 3D Gaussians for Single Image to 3D _(Paper)_
- **uses_metric** → About graphdeco-inria/gaussian-splatting _(Repository)_
- **uses_metric** → About nerfstudio-project/gsplat _(Repository)_
- **uses_metric** → BARF: Bundle-Adjusting Neural Radiance Fields _(Paper)_
- **uses_metric** → Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM _(Paper)_
- **uses_metric** → DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras _(Paper)_
- **uses_metric** → DeepV2D: Video to Depth with Differentiable Structure from Motion _(Paper)_
- **uses_metric** → Direct Sparse Odometry _(Paper)_
- **uses_metric** → DreamFusion: Text-to-3D using 2D Diffusion _(Paper)_
- **uses_metric** → DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation _(Paper)_
- **uses_metric** → Dynamic View Synthesis from Dynamic Monocular Video _(Paper)_
- **uses_metric** → Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields _(Paper)_
- **uses_metric** → GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting _(Paper)_
- **uses_metric** → GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting _(Paper)_
- **uses_metric** → Gaussian Splatting SLAM _(Paper)_
- **uses_metric** → Implicit Geometric Regularization for Learning Shapes _(Paper)_
- **uses_metric** → Instant Neural Graphics Primitives with a Multiresolution Hash Encoding _(Paper)_
- **uses_metric** → Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model _(Paper)_
- **uses_metric** → K-Planes: Explicit Radiance Fields in Space, Time, and Appearance _(Paper)_
- **uses_metric** → LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation _(Paper)_
- **uses_metric** → LRM: Large Reconstruction Model for Single Image to 3D _(Paper)_
- **uses_metric** → LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes _(Paper)_
- **uses_metric** → MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes _(Paper)_
- **uses_metric** → Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors _(Paper)_

## Connected node types

- Paper: 44
- Repository: 2
- SourceDocument: 1