mlsanityData to 7 Oct 2026

GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation

arXiv 2204.05735 ↗First posted 12 Apr 2022cs.CVcited by 86

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Abstract (arXiv)

Despite Neural Radiance Fields (NeRF) showing compelling results in photorealistic novel views synthesis of real-world scenes, most existing approaches require accurate prior camera poses. Although approaches for jointly recovering the radiance field and camera pose exist (BARF), they rely on a cumbersome coarse-to-fine auxiliary positional embedding to ensure good performance. We present Gaussian Activated neural Radiance Fields (GARF), a new positional embedding-free neural radiance field architecture - employing Gaussian activations - that outperforms the current state-of-the-art in terms of high fidelity reconstruction and pose estimation.

Key facts. Cited by 86 papers in the map (data through 7 Oct 2026). Builds on 39 of its 48 references that are in the map. First posted on arXiv 12 Apr 2022.

Builds on

39 of 48 references.

References · 39

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,682
  3. 2020Implicit Neural Representations with Periodic Activation Functionscited by 2,214
  4. 2020Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domainscited by 2,170
  5. 2018Occupancy Networks: Learning 3D Reconstruction in Function Spacecited by 2,037
  6. 2020pixelNeRF: Neural Radiance Fields from One or Few Imagescited by 1,574
  7. 2018On the Spectral Bias of Neural Networkscited by 1,321
  8. 2020NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collectionscited by 1,230
  9. 2020Nerfies: Deformable Neural Radiance Fieldscited by 1,194
  10. 2021PlenOctrees for Real-time Rendering of Neural Radiance Fieldscited by 904
  11. 2019Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representationscited by 864
  12. 2020Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenescited by 750
27 more
  1. 2021Depth-supervised NeRF: Fewer Views and Faster Training for Freecited by 732
  2. 2022Block-NeRF: Scalable Large Scene Neural View Synthesiscited by 720
  3. 2019Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervisioncited by 699
  4. 2021IBRNet: Learning Multi-View Image-Based Renderingcited by 698
  5. 2020GRAF: Generative Radiance Fields for 3D-Aware Image Synthesiscited by 688
  6. 2019Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelinescited by 672
  7. 2021KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPscited by 672
  8. 2021BARF: Bundle-Adjusting Neural Radiance Fieldscited by 641
  9. 2021NICE-SLAM: Neural Implicit Scalable Encoding for SLAMcited by 586
  10. 2021iMAP: Implicit Mapping and Positioning in Real-Timecited by 476
  11. 2021Dynamic View Synthesis from Dynamic Monocular Videocited by 420
  12. 2020Space-time Neural Irradiance Fields for Free-Viewpoint Videocited by 414
  13. 2021Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughscited by 396
  14. 2020INeRF: Inverting Neural Radiance Fields for Pose Estimationcited by 381
  15. 2020Local Implicit Grid Representations for 3D Scenescited by 372
  16. 2021Advances in Neural Renderingcited by 365
  17. 2020Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstructioncited by 321
  18. 2019Learning Shape Templates with Structured Implicit Functionscited by 242
  19. 2020AutoInt: Automatic Integration for Fast Neural Volume Renderingcited by 204
  20. 2021Self-Calibrating Neural Radiance Fieldscited by 204
  21. 2018Training behavior of deep neural network in frequency domaincited by 174
  22. 2021GNeRF: GAN-based Neural Radiance Field without Posed Cameracited by 153
  23. 2021Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPscited by 134
  24. 2021A Structured Dictionary Perspective on Implicit Neural Representationscited by 100
  25. 2021SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimizationcited by 59
  26. 2021Rethinking Positional Encodingcited by 36
  27. 2022On Regularizing Coordinate-MLPscited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 8; 2023: 23; 2024: 31; 2025: 20; 2026: 4.

86 papers.

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  1. 2024No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Imagescited by 241
  2. 2022NoPe-NeRF: Optimising Neural Radiance Field with No Pose Priorcited by 235
  3. 2022SPARF: Neural Radiance Fields from Sparse and Noisy Posescited by 195
  4. 2023NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAMcited by 162
  5. 2022NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)cited by 156
  6. 2023SUDS: Scalable Urban Dynamic Scenescited by 151
  7. 2023FINER: Flexible spectral-bias tuning in Implicit NEural Representation by Variable-periodic Activation Functionscited by 77
  8. 2025Pow3R: Empowering Unconstrained 3D Reconstruction with Camera and Scene Priorscited by 69
  9. 2023NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functionscited by 65
  10. 2023DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fieldscited by 60
  11. 2022Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fieldscited by 58
  12. 2022SparsePose: Sparse-View Camera Pose Regression and Refinementcited by 53
38 more
  1. 2022FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videoscited by 46
  2. 2024When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Modelscited by 41
  3. 2022AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Trainingcited by 31
  4. 2022ActiveRMAP: Radiance Field for Active Mapping And Planningcited by 29
  5. 2024NARUTO: Neural Active Reconstruction from Uncertain Target Observationscited by 27
  6. 2024LM-Gaussian: Boost Sparse-view 3D Gaussian Splatting with Large Model Priorscited by 25
  7. 2023Random-Access Neural Compression of Material Texturescited by 23
  8. 2024Neural Fields in Robotics: A Surveycited by 21
  9. 2023Deep Learning for Camera Calibration and Beyond: A Surveycited by 20
  10. 2023NViST: In the Wild New View Synthesis from a Single Image with Transformerscited by 19
  11. 2025ActiveGAMER: Active GAussian Mapping through Efficient Renderingcited by 19
  12. 2023Polynomial Implicit Neural Representations For Large Diverse Datasetscited by 18
  13. 2024VDG: Vision-Only Dynamic Gaussian for Driving Simulationcited by 16
  14. 2023SlimmeRF: Slimmable Radiance Fieldscited by 15
  15. 2024EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splattingcited by 15
  16. 2024Neural Eulerian Scene Flow Fieldscited by 14
  17. 2024Fast High Dynamic Range Radiance Fields for Dynamic Scenescited by 13
  18. 2026TokenSplat: Token-aligned 3D Gaussian Splatting for Feed-forward Pose-free Reconstructioncited by 13
  19. 2023UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fieldscited by 12
  20. 2024TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Trackscited by 12
  21. 2023CBARF: Cascaded Bundle-Adjusting Neural Radiance Fields from Imperfect Camera Posescited by 11
  22. 2024From Activation to Initialization: Scaling Insights for Optimizing Neural Fieldscited by 11
  23. 2023ImFace++: A Sophisticated Nonlinear 3D Morphable Face Model with Implicit Neural Representationscited by 10
  24. 2024FINER++: Building a Family of Variable-periodic Functions for Activating Implicit Neural Representationcited by 10
  25. 20253R-GS: Best Practice in Optimizing Camera Poses Along with 3DGScited by 10
  26. 2024Weight Conditioning for Smooth Optimization of Neural Networkscited by 9
  27. 2023Curvature-Aware Training for Coordinate Networkscited by 8
  28. 2023SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Viewscited by 8
  29. 2024Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Imagescited by 8
  30. 2025VGGT-X: When VGGT Meets Dense Novel View Synthesiscited by 8
  31. 2024RoDyGS: Robust Dynamic Gaussian Splatting for Casual Videoscited by 7
  32. 2025Graph-Guided Scene Reconstruction from Images with 3D Gaussian Splattingcited by 7
  33. 2025Sparfels: Fast Reconstruction from Sparse Unposed Imagerycited by 7
  34. 2023NeRFtrinsic Four: An End-To-End Trainable NeRF Jointly Optimizing Diverse Intrinsic and Extrinsic Camera Parameterscited by 6
  35. 2024Adaptive Masking Enhances Visual Groundingcited by 6
  36. 2023MC-NeRF: Multi-Camera Neural Radiance Fields for Multi-Camera Image Acquisition Systemscited by 5
  37. 2023BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction using Neural Radiance Fieldscited by 5
  38. 2024Preconditioners for the Stochastic Training of Neural Fieldscited by 5

50 most cited of 86 All 86 (JSON)