{ "title": "Topic — Gaussian Splatting Reconstruction", "kind": "syntheses", "body_text": "# Topic — Gaussian Splatting Reconstruction\n\nType: ApproachFamily.\n\n## Contributing papers\n- [2D Gaussian Splatting for Geometrically Accurate Radiance Fields (arXiv:2403.17888)](../papers/2d-gaussian-splatting-for-geometrically-accurate-radiance-fields.md)\n- [3D Gaussian Splatting for Real-Time Radiance Field Rendering (arXiv:2308.04079)](../papers/3d-gaussian-splatting-for-real-time-radiance-field-rendering.md)\n- [4D Gaussian Splatting for Real-Time Dynamic Scene Rendering (arXiv:2310.08528)](../papers/4d-gaussian-splatting-for-real-time-dynamic-scene-rendering.md)\n- [4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes (arXiv:2402.03307)](../papers/4d-rotor-gaussian-splatting-towards-efficient-novel-view-synthesis-for-dynamic-scenes.md)\n- [AGG: Amortized Generative 3D Gaussians for Single Image to 3D (arXiv:2401.04099)](../papers/agg-amortized-generative-3d-gaussians-for-single-image-to-3d.md)\n- [Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM (arXiv:2304.14377)](../papers/co-slam-joint-coordinate-and-sparse-parametric-encodings-for-neural-real-time-slam.md)\n- [DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation (arXiv:2309.16653)](../papers/dreamgaussian-generative-gaussian-splatting-for-efficient-3d-content-creation.md)\n- [Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields (arXiv:2312.03203)](../papers/feature-3dgs-supercharging-3d-gaussian-splatting-to-enable-distilled-feature-fields.md)\n- [GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting (arXiv:2402.07207)](../papers/gala3d-towards-text-to-3d-complex-scene-generation-via-layout-guided-generative-4a4374ee.md)\n- [GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting (arXiv:2311.11700)](../papers/gs-slam-dense-visual-slam-with-3d-gaussian-splatting.md)\n- [Gaussian Splatting SLAM (arXiv:2312.06741)](../papers/gaussian-splatting-slam.md)\n- [LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes (arXiv:2311.13384)](../papers/luciddreamer-domain-free-generation-of-3d-gaussian-splatting-scenes.md)\n- [MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images (arXiv:2403.14627)](../papers/mvsplat-efficient-3d-gaussian-splatting-from-sparse-multi-view-images.md)\n- [Mathematical Supplement for the $\\\\\\\\texttt{gsplat}$ Library (arXiv:2312.02121)](../papers/mathematical-supplement-for-the-texttt-gsplat-library.md)\n- [Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields (arXiv:2111.12077)](../papers/mip-nerf-360-unbounded-anti-aliased-neural-radiance-fields.md)\n- [Point-SLAM: Dense Neural Point Cloud-based SLAM (arXiv:2304.04278)](../papers/point-slam-dense-neural-point-cloud-based-slam.md)\n- [Revising Densification in Gaussian Splatting (arXiv:2404.06109)](../papers/revising-densification-in-gaussian-splatting.md)\n- [Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering (arXiv:2312.00109)](../papers/scaffold-gs-structured-3d-gaussians-for-view-adaptive-rendering.md)\n- [SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering (arXiv:2311.12775)](../papers/sugar-surface-aligned-gaussian-splatting-for-efficient-3d-mesh-reconstruction-an-30733ba4.md)\n- [latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction (arXiv:2403.16292)](../papers/latentsplat-autoencoding-variational-gaussians-for-fast-generalizable-3d-reconstruction.md)\n\n## Related concepts\n- Co-SLAM (Algorithm)\n- DreamGaussian (Algorithm)\n- GALA3D (Algorithm)\n- LucidDreamer (Algorithm)\n- MVSplat (Algorithm)\n- Scaffold-GS (Algorithm)\n- Multi-View Consistency (EvaluationProtocol)\n- 4D Gaussian Splatting (MethodologicalConcept)\n- Gaussian Splatting (MethodologicalConcept)\n- Volumetric Rendering (MethodologicalConcept)\n- Novel View Synthesis (Task)\n- Depth Map (TechnicalTerm)\n- Point Cloud (TechnicalTerm)\n- Fine-tuning (TrainingParadigm)\n\n## Related repos\n- (none)", "source_path": "", "links": [ "../papers/2d-gaussian-splatting-for-geometrically-accurate-radiance-fields.md", "../papers/3d-gaussian-splatting-for-real-time-radiance-field-rendering.md", "../papers/4d-gaussian-splatting-for-real-time-dynamic-scene-rendering.md", "../papers/4d-rotor-gaussian-splatting-towards-efficient-novel-view-synthesis-for-dynamic-scenes.md", "../papers/agg-amortized-generative-3d-gaussians-for-single-image-to-3d.md", "../papers/co-slam-joint-coordinate-and-sparse-parametric-encodings-for-neural-real-time-slam.md", "../papers/dreamgaussian-generative-gaussian-splatting-for-efficient-3d-content-creation.md", "../papers/feature-3dgs-supercharging-3d-gaussian-splatting-to-enable-distilled-feature-fields.md", "../papers/gala3d-towards-text-to-3d-complex-scene-generation-via-layout-guided-generative-4a4374ee.md", "../papers/gs-slam-dense-visual-slam-with-3d-gaussian-splatting.md", "../papers/gaussian-splatting-slam.md", "../papers/luciddreamer-domain-free-generation-of-3d-gaussian-splatting-scenes.md", "../papers/mvsplat-efficient-3d-gaussian-splatting-from-sparse-multi-view-images.md", "../papers/mathematical-supplement-for-the-texttt-gsplat-library.md", "../papers/mip-nerf-360-unbounded-anti-aliased-neural-radiance-fields.md", "../papers/point-slam-dense-neural-point-cloud-based-slam.md", "../papers/revising-densification-in-gaussian-splatting.md", "../papers/scaffold-gs-structured-3d-gaussians-for-view-adaptive-rendering.md", "../papers/sugar-surface-aligned-gaussian-splatting-for-efficient-3d-mesh-reconstruction-an-30733ba4.md", "../papers/latentsplat-autoencoding-variational-gaussians-for-fast-generalizable-3d-reconstruction.md" ], "body": "# Topic — Gaussian Splatting Reconstruction\n\nType: ApproachFamily.\n\n## Contributing papers\n- [2D Gaussian Splatting for Geometrically Accurate Radiance Fields (arXiv:2403.17888)](../papers/2d-gaussian-splatting-for-geometrically-accurate-radiance-fields.md)\n- [3D Gaussian Splatting for Real-Time Radiance Field Rendering (arXiv:2308.04079)](../papers/3d-gaussian-splatting-for-real-time-radiance-field-rendering.md)\n- [4D Gaussian Splatting for Real-Time Dynamic Scene Rendering (arXiv:2310.08528)](../papers/4d-gaussian-splatting-for-real-time-dynamic-scene-rendering.md)\n- [4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes (arXiv:2402.03307)](../papers/4d-rotor-gaussian-splatting-towards-efficient-novel-view-synthesis-for-dynamic-scenes.md)\n- [AGG: Amortized Generative 3D Gaussians for Single Image to 3D (arXiv:2401.04099)](../papers/agg-amortized-generative-3d-gaussians-for-single-image-to-3d.md)\n- [Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM (arXiv:2304.14377)](../papers/co-slam-joint-coordinate-and-sparse-parametric-encodings-for-neural-real-time-slam.md)\n- [DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation (arXiv:2309.16653)](../papers/dreamgaussian-generative-gaussian-splatting-for-efficient-3d-content-creation.md)\n- [Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields (arXiv:2312.03203)](../papers/feature-3dgs-supercharging-3d-gaussian-splatting-to-enable-distilled-feature-fields.md)\n- [GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting (arXiv:2402.07207)](../papers/gala3d-towards-text-to-3d-complex-scene-generation-via-layout-guided-generative-4a4374ee.md)\n- [GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting (arXiv:2311.11700)](../papers/gs-slam-dense-visual-slam-with-3d-gaussian-splatting.md)\n- [Gaussian Splatting SLAM (arXiv:2312.06741)](../papers/gaussian-splatting-slam.md)\n- [LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes (arXiv:2311.13384)](../papers/luciddreamer-domain-free-generation-of-3d-gaussian-splatting-scenes.md)\n- [MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images (arXiv:2403.14627)](../papers/mvsplat-efficient-3d-gaussian-splatting-from-sparse-multi-view-images.md)\n- [Mathematical Supplement for the $\\\\\\\\texttt{gsplat}$ Library (arXiv:2312.02121)](../papers/mathematical-supplement-for-the-texttt-gsplat-library.md)\n- [Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields (arXiv:2111.12077)](../papers/mip-nerf-360-unbounded-anti-aliased-neural-radiance-fields.md)\n- [Point-SLAM: Dense Neural Point Cloud-based SLAM (arXiv:2304.04278)](../papers/point-slam-dense-neural-point-cloud-based-slam.md)\n- [Revising Densification in Gaussian Splatting (arXiv:2404.06109)](../papers/revising-densification-in-gaussian-splatting.md)\n- [Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering (arXiv:2312.00109)](../papers/scaffold-gs-structured-3d-gaussians-for-view-adaptive-rendering.md)\n- [SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering (arXiv:2311.12775)](../papers/sugar-surface-aligned-gaussian-splatting-for-efficient-3d-mesh-reconstruction-an-30733ba4.md)\n- [latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction (arXiv:2403.16292)](../papers/latentsplat-autoencoding-variational-gaussians-for-fast-generalizable-3d-reconstruction.md)\n\n## Related concepts\n- Co-SLAM (Algorithm)\n- DreamGaussian (Algorithm)\n- GALA3D (Algorithm)\n- LucidDreamer (Algorithm)\n- MVSplat (Algorithm)\n- Scaffold-GS (Algorithm)\n- Multi-View Consistency (EvaluationProtocol)\n- 4D Gaussian Splatting (MethodologicalConcept)\n- Gaussian Splatting (MethodologicalConcept)\n- Volumetric Rendering (MethodologicalConcept)\n- Novel View Synthesis (Task)\n- Depth Map (TechnicalTerm)\n- Point Cloud (TechnicalTerm)\n- Fine-tuning (TrainingParadigm)\n\n## Related repos\n- (none)", "frontmatter": { "content_hash": "sha256-3a43cd6669e76c04e8dc2d73d2829ea35e7d944bb2c7521ff368bd5420f0e165", "generator": "heuristic-v1", "inputs": [ "Algorithm:co-slam:e8ce06385db1", "Algorithm:dreamgaussian:924b7242582b", "Algorithm:gala3d:a635a5ef1127", "Algorithm:luciddreamer:8110a81c3696", "Algorithm:mvsplat:8e13a106b3af", "Algorithm:scaffold-gs:7f28ca718105", "ApproachFamily:gaussian-splatting-reconstruction:84097d3185ea", "EvaluationProtocol:multi-view-consistency:77bea1e95667", "MethodologicalConcept:4d-gaussian-splatting:ebf4cb197985", "MethodologicalConcept:gaussian-splatting:4f4b246c6522", "MethodologicalConcept:volumetric-rendering:7527b301d064", "Paper:arxiv-2111-12077:db8bcde3b168", "Paper:arxiv-2304-04278:718073a97b27", "Paper:arxiv-2304-14377:d92d5288eaaa", "Paper:arxiv-2308-04079:3132b6a15963", "Paper:arxiv-2309-16653:0d8a57e0dc05", "Paper:arxiv-2310-08528:f4b06b2bcf0d", "Paper:arxiv-2311-11700:c0097b0a8f8f", "Paper:arxiv-2311-12775:5995ba568992", "Paper:arxiv-2311-13384:4dd24dab03d3", "Paper:arxiv-2312-00109:3a4be6036b7a", "Paper:arxiv-2312-02121:5e6429e6abc2", "Paper:arxiv-2312-03203:870f26a39f0d", "Paper:arxiv-2312-06741:5e75008a3b16", "Paper:arxiv-2401-04099:f876857c2695", "Paper:arxiv-2402-03307:9956bf6af199", "Paper:arxiv-2402-07207:6f05447b89cf", "Paper:arxiv-2403-14627:6879ab4e3f48", "Paper:arxiv-2403-16292:ccad2fc92d83", "Paper:arxiv-2403-17888:6d82180116b7", "Paper:arxiv-2404-06109:e7c1f4e44792", "Task:novel-view-synthesis:19d55dfb9b83", "TechnicalTerm:depth-map:349c240dc3dc", "TechnicalTerm:point-cloud:5e627858ec5a", "TrainingParadigm:fine-tuning:f617b4eb06c6" ], "slug": "topic-gaussian-splatting-reconstruction", "sources": [ "examples/demo-corpus/data/research/papers/arxiv-2111-12077/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2304-04278/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2304-14377/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2308-04079/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2309-16653/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2310-08528/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2311-11700/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2311-12775/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2311-13384/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2312-00109/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2312-02121/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2312-03203/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2312-06741/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2401-04099/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2402-03307/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2402-07207/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2403-14627/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2403-16292/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2403-17888/abstract.md", "examples/demo-corpus/data/research/papers/arxiv-2404-06109/abstract.md" ], "synthesis_kind": "topic", "title": "Topic — Gaussian Splatting Reconstruction" } }