Topic · ≈ 1 min read
3D/4D Vision and Reconstruction
Incoming relations
- part_of → 2D Gaussian Splatting for Geometrically Accurate Radiance Fields (Paper)
- part_of → 3D Gaussian Splatting for Real-Time Radiance Field Rendering (Paper)
- part_of → 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering (Paper)
- part_of → 4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes (Paper)
- part_of → AGG: Amortized Generative 3D Gaussians for Single Image to 3D (Paper)
- part_of → BARF: Bundle-Adjusting Neural Radiance Fields (Paper)
- part_of → Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM (Paper)
- part_of → DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras (Paper)
- part_of → DeepV2D: Video to Depth with Differentiable Structure from Motion (Paper)
- part_of → Direct Sparse Odometry (Paper)
- part_of → DreamFusion: Text-to-3D using 2D Diffusion (Paper)
- part_of → DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation (Paper)
- part_of → Dynamic View Synthesis from Dynamic Monocular Video (Paper)
- part_of → Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields (Paper)
- part_of → GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting (Paper)
- part_of → GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting (Paper)
- part_of → Gaussian Splatting SLAM (Paper)
- part_of → HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields (Paper)
- part_of → Implicit Geometric Regularization for Learning Shapes (Paper)
- part_of → Instant Neural Graphics Primitives with a Multiresolution Hash Encoding (Paper)
- part_of → Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model (Paper)
- part_of → K-Planes: Explicit Radiance Fields in Space, Time, and Appearance (Paper)
- part_of → LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation (Paper)
- part_of → LRM: Large Reconstruction Model for Single Image to 3D (Paper)
- part_of → LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes (Paper)
Connected node types
- Paper: 50
Mentions in the corpus
- part_of Direct Sparse Odometry
- part_of DeepV2D: Video to Depth with Differentiable Structure from Motion
- part_of Implicit Geometric Regularization for Learning Shapes
- part_of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
- part_of NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
- part_of Nerfies: Deformable Neural Radiance Fields
- part_of Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
- part_of PlenOctrees for Real-time Rendering of Neural Radiance Fields
- part_of BARF: Bundle-Adjusting Neural Radiance Fields
- part_of UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
- part_of Dynamic View Synthesis from Dynamic Monocular Video
- part_of NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
- part_of Volume Rendering of Neural Implicit Surfaces
- part_of HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
- part_of DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
- part_of Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
- part_of Plenoxels: Radiance Fields without Neural Networks
- part_of NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
- part_of Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
- part_of MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
- part_of DreamFusion: Text-to-3D using 2D Diffusion
- part_of Magic3D: High-Resolution Text-to-3D Content Creation
- part_of K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
- part_of MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes
- part_of Zero-1-to-3: Zero-shot One Image to 3D Object
- part_of Point-SLAM: Dense Neural Point Cloud-based SLAM
- part_of Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM
- part_of ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
- part_of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
- part_of 3D Gaussian Splatting for Real-Time Radiance Field Rendering
- part_of DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
- part_of 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
- part_of LRM: Large Reconstruction Model for Single Image to 3D
- part_of Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model
- part_of GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting
- part_of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
- part_of LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes
- part_of Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
- part_of Mathematical Supplement for the $\\texttt{gsplat}$ Library
- part_of Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
- part_of Gaussian Splatting SLAM
- part_of AGG: Amortized Generative 3D Gaussians for Single Image to 3D
- part_of 4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes
- part_of LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation
- part_of GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting
- part_of TripoSR: Fast 3D Object Reconstruction from a Single Image
- part_of MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
- part_of latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction
- part_of 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
- part_of Revising Densification in Gaussian Splatting
- synthesizes Field Overview — 3D/4D Vision and Reconstruction
Cross-references in raw data
No raw-data mentions found.
Source provenance
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