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Entity · ≈ 1 min read

SSIM

Source: docs/superpowers/specs/2026-05-19-session-graph-extractor-design.md

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

Mentions in the corpus

uses_metric Session graph extractor — design
uses_metric Direct Sparse Odometry
uses_metric DeepV2D: Video to Depth with Differentiable Structure from Motion
uses_metric Implicit Geometric Regularization for Learning Shapes
uses_metric NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
uses_metric NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
uses_metric Nerfies: Deformable Neural Radiance Fields
uses_metric Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
uses_metric BARF: Bundle-Adjusting Neural Radiance Fields
uses_metric UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
uses_metric Dynamic View Synthesis from Dynamic Monocular Video
uses_metric NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
uses_metric Volume Rendering of Neural Implicit Surfaces
uses_metric DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
uses_metric Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
uses_metric Plenoxels: Radiance Fields without Neural Networks
uses_metric NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
uses_metric Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
uses_metric MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
uses_metric DreamFusion: Text-to-3D using 2D Diffusion
uses_metric Magic3D: High-Resolution Text-to-3D Content Creation
uses_metric K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
uses_metric MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes
uses_metric Zero-1-to-3: Zero-shot One Image to 3D Object
uses_metric Point-SLAM: Dense Neural Point Cloud-based SLAM
uses_metric Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM
uses_metric ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
uses_metric Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
uses_metric DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
uses_metric LRM: Large Reconstruction Model for Single Image to 3D
uses_metric Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model
uses_metric GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting
uses_metric SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
uses_metric LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes
uses_metric Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
uses_metric Mathematical Supplement for the $\\texttt{gsplat}$ Library
uses_metric Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
uses_metric Gaussian Splatting SLAM
uses_metric AGG: Amortized Generative 3D Gaussians for Single Image to 3D
uses_metric LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation
uses_metric GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting
uses_metric TripoSR: Fast 3D Object Reconstruction from a Single Image
uses_metric latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction
uses_metric 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
uses_metric Revising Densification in Gaussian Splatting
uses_metric About graphdeco-inria/gaussian-splatting
uses_metric About nerfstudio-project/gsplat

Cross-references in raw data

Source provenance

docs/superpowers/specs/2026-05-19-session-graph-extractor-design.md

Activity