mlsanityData to 7 Oct 2026

Robust Dynamic Radiance Fields

arXiv 2301.02239 ↗First posted 5 Jan 2023cs.CVcited by 193

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Abstract (arXiv)

Dynamic radiance field reconstruction methods aim to model the time-varying structure and appearance of a dynamic scene. Existing methods, however, assume that accurate camera poses can be reliably estimated by Structure from Motion (SfM) algorithms. These methods, thus, are unreliable as SfM algorithms often fail or produce erroneous poses on challenging videos with highly dynamic objects, poorly textured surfaces, and rotating camera motion. We address this robustness issue by jointly estimating the static and dynamic radiance fields along with the camera parameters (poses and focal length). We demonstrate the robustness of our approach via extensive quantitative and qualitative experiments. Our results show favorable performance over the state-of-the-art dynamic view synthesis methods.

Key facts. Cited by 193 papers in the map (data through 7 Oct 2026). Builds on 56 of its 86 references that are in the map. First posted on arXiv 5 Jan 2023.

Builds on

56 of 86 references.

References · 56

  1. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  2. 2017Mask R-CNNcited by 7,259
  3. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  4. 2020RAFT: Recurrent All-Pairs Field Transforms for Optical Flowcited by 2,385
  5. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,013
  6. 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,957
  7. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,607
  8. 2019Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfercited by 1,484
  9. 2020D-NeRF: Neural Radiance Fields for Dynamic Scenescited by 1,459
  10. 2022TensoRF: Tensorial Radiance Fieldscited by 1,275
  11. 2020Nerfies: Deformable Neural Radiance Fieldscited by 1,194
  12. 2015ORB-SLAM: a Versatile and Accurate Monocular SLAM Systemcited by 983
38 more
  1. 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 961
  2. 2019Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representationscited by 864
  3. 2020NeRF++: Analyzing and Improving Neural Radiance Fieldscited by 857
  4. 2016ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Camerascited by 801
  5. 2017Unsupervised Learning of Depth and Ego-Motion from Videocited by 778
  6. 2020Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenescited by 750
  7. 2021DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Camerascited by 673
  8. 2021BARF: Bundle-Adjusting Neural Radiance Fieldscited by 641
  9. 2022HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Videocited by 483
  10. 2016Direct Sparse Odometrycited by 479
  11. 2020Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Videocited by 470
  12. 2021Dynamic View Synthesis from Dynamic Monocular Videocited by 420
  13. 2020Space-time Neural Irradiance Fields for Free-Viewpoint Videocited by 414
  14. 2019SynSin: End-to-end View Synthesis from a Single Imagecited by 364
  15. 2022Fast Dynamic Radiance Fields with Time-Aware Neural Voxelscited by 344
  16. 2018GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Posecited by 341
  17. 2020Single-View View Synthesis with Multiplane Imagescited by 263
  18. 2019DeepView: View Synthesis with Learned Gradient Descentcited by 253
  19. 2020Free View Synthesiscited by 231
  20. 2021HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fieldscited by 210
  21. 20203D Photography using Context-aware Layered Depth Inpaintingcited by 206
  22. 2021Self-Calibrating Neural Radiance Fieldscited by 204
  23. 2022Monocular Dynamic View Synthesis: A Reality Checkcited by 199
  24. 2019Pushing the Boundaries of View Extrapolation with Multiplane Imagescited by 191
  25. 2020Robust Consistent Video Depth Estimationcited by 188
  26. 2022NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fieldscited by 188
  27. 2015DeepStereo: Learning to Predict New Views from the World's Imagerycited by 185
  28. 2019Neural Volumes: Learning Dynamic Renderable Volumes from Imagescited by 173
  29. 2020Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Cameracited by 166
  30. 2020Stable View Synthesiscited by 165
  31. 2018DynaSLAM: Tracking, Mapping and Inpainting in Dynamic Scenescited by 130
  32. 20193D Ken Burns Effect from a Single Imagecited by 128
  33. 2019Learning the Depths of Moving People by Watching Frozen Peoplecited by 120
  34. 2018CubeSLAM: Monocular 3D Object SLAMcited by 101
  35. 2018Extreme View Synthesiscited by 94
  36. 2018DS-SLAM: A Semantic Visual SLAM towards Dynamic Environmentscited by 90
  37. 2022ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wildcited by 90
  38. 20204D Visualization of Dynamic Events from Unconstrained Multi-View Videoscited by 66

50 most cited of 56 All 56 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 35; 2024: 71; 2025: 57; 2026: 30.

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  1. 20234D Gaussian Splatting for Real-Time Dynamic Scene Renderingcited by 1,144
  2. 2023Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesiscited by 731
  3. 2023DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenescited by 359
  4. 2023Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesiscited by 341
  5. 2024MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videoscited by 224
  6. 2024VastGaussian: Vast 3D Gaussians for Large Scene Reconstructioncited by 209
  7. 2024MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffoldscited by 177
  8. 2025TrajectoryCrafter: Redirecting Camera Trajectory for Monocular Videos via Diffusion Modelscited by 120
  9. 2023Progressively Optimized Local Radiance Fields for Robust View Synthesiscited by 103
  10. 2023GauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesiscited by 95
  11. 2024Stereo4D: Learning How Things Move in 3D from Internet Stereo Videoscited by 89
  12. 2024ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuningcited by 68
38 more
  1. 2024You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scalecited by 65
  2. 2024DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videoscited by 63
  3. 2024MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splattingcited by 62
  4. 2024FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descentcited by 61
  5. 2024STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenescited by 53
  6. 2024MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priorscited by 51
  7. 2024Grid4D: 4D Decomposed Hash Encoding for High-Fidelity Dynamic Gaussian Splattingcited by 49
  8. 2024Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videoscited by 48
  9. 2023SWinGS: Sliding Windows for Dynamic 3D Gaussian Splattingcited by 46
  10. 2024SplineGS: Robust Motion-Adaptive Spline for Real-Time Dynamic 3D Gaussians from Monocular Videocited by 44
  11. 2023Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstructioncited by 43
  12. 2024Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstructioncited by 43
  13. 2024BAGS: Blur Agnostic Gaussian Splatting through Multi-Scale Kernel Modelingcited by 42
  14. 2023FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flowcited by 38
  15. 2024Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfelscited by 38
  16. 2023DynPoint: Dynamic Neural Point For View Synthesiscited by 37
  17. 2024StereoCrafter: Diffusion-based Generation of Long and High-fidelity Stereoscopic 3D from Monocular Videoscited by 36
  18. 2024Splatter a Video: Video Gaussian Representation for Versatile Processingcited by 31
  19. 2025MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Secondcited by 31
  20. 2025MoDec-GS: Global-to-Local Motion Decomposition and Temporal Interval Adjustment for Compact Dynamic 3D Gaussian Splattingcited by 30
  21. 2023NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videoscited by 28
  22. 2024Recent Trends in 3D Reconstruction of General Non-Rigid Scenescited by 28
  23. 2023Pseudo-Generalized Dynamic View Synthesis from a Videocited by 27
  24. 2025Dynamic Camera Poses and Where to Find Themcited by 26
  25. 2024NeRF-HuGS: Improved Neural Radiance Fields in Non-static Scenes Using Heuristics-Guided Segmentationcited by 25
  26. 2025LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videoscited by 23
  27. 2023Fast View Synthesis of Casual Videos with Soup-of-Planescited by 22
  28. 2023Dynamic LiDAR Re-simulation using Compositional Neural Fieldscited by 22
  29. 2024EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splattingcited by 22
  30. 2024Compact 3D Gaussian Splatting for Static and Dynamic Radiance Fieldscited by 22
  31. 2023Dynamic Mesh-Aware Radiance Fieldscited by 21
  32. 2024VividDream: Generating 3D Scene with Ambient Dynamicscited by 21
  33. 2024SpectroMotion: Dynamic 3D Reconstruction of Specular Scenescited by 21
  34. 2025AuraFusion360: Augmented Unseen Region Alignment for Reference-based 360deg Unbounded Scene Inpaintingcited by 21
  35. 2025Generative Video Motion Editing with 3D Point Trackscited by 21
  36. 2023Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesiscited by 20
  37. 2024RoMo: Robust Motion Segmentation Improves Structure from Motioncited by 20
  38. 2023NViST: In the Wild New View Synthesis from a Single Image with Transformerscited by 19

50 most cited of 193 All 193 (JSON)