gaussian splatting
A technique for representing data points in a continuous manner using Gaussian distributions, which allows for smoother approximations and better handling of uncertainty in spatial data representations.
- 3DOT: Texture Transfer for 3DGS Objects from a Single Reference Image
- AtlasGS: Atlanta-world Guided Surface Reconstruction with Implicit Structured Gaussians
- CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
- D$^2$GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction
- DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting
- ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals
- FLOWING: Implicit Neural Flows for Structure-Preserving Morphing
- GS2E: Gaussian Splatting is an Effective Data Generator for Event Stream Generation
- GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction
- HEIR: Learning Graph-Based Motion Hierarchies
- LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS
- MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting
- Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding
- Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations
- Omnidirectional 3D Scene Reconstruction from Single Image
- Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery
- Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting
- TreeSplat: Mergeable Tree for Deformable Gaussian Splatting
- Unifying Appearance Codes and Bilateral Grids for Driving Scene Gaussian Splatting