4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
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Cited by 87 in Diffusion models, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Representing and rendering dynamic scenes has been an important but challenging task. Especially, to accurately model complex motions, high efficiency is usually hard to guarantee. To achieve real-time dynamic scene rendering while also enjoying high training and storage efficiency, we propose 4D Gaussian Splatting (4D-GS) as a holistic representation for dynamic scenes rather than applying 3D-GS for each individual frame. In 4D-GS, a novel explicit representation containing both 3D Gaussians and 4D neural voxels is proposed. A decomposed neural voxel encoding algorithm inspired by HexPlane is proposed to efficiently build Gaussian features from 4D neural voxels and then a lightweight MLP is applied to predict Gaussian deformations at novel timestamps. Our 4D-GS method achieves real-time rendering under high resolutions, 82 FPS at an 800×800 resolution on an RTX 3090 GPU while maintaining comparable or better quality than previous state-of-the-art methods. More demos and code are available at https://guanjunwu.github.io/4dgs/.
Key facts. Cited by 1,144 papers in the map (data through 7 Oct 2026). Builds on 51 of its 80 references that are in the map. First posted on arXiv 12 Oct 2023.
Builds on
51 of 80 references.
References · 51
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- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
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- 2020D-NeRF: Neural Radiance Fields for Dynamic Scenescited by 1,459
- 2020NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collectionscited by 1,230
- 2020Nerfies: Deformable Neural Radiance Fieldscited by 1,194
38 more
- 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 961
- 2021PlenOctrees for Real-time Rendering of Neural Radiance Fieldscited by 904
- 2020NeRF++: Analyzing and Improving Neural Radiance Fieldscited by 857
- 2023Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstructioncited by 753
- 2020Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenescited by 750
- 2023K-Planes: Explicit Radiance Fields in Space, Time, and Appearancecited by 742
- 2023Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesiscited by 731
- 2021KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPscited by 672
- 2023HexPlane: A Fast Representation for Dynamic Scenescited by 582
- 2022Point-NeRF: Point-based Neural Radiance Fieldscited by 503
- 2022HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Videocited by 483
- 2021Baking Neural Radiance Fields for Real-Time View Synthesiscited by 465
- 2021Dynamic View Synthesis from Dynamic Monocular Videocited by 420
- 2022Fast Dynamic Radiance Fields with Time-Aware Neural Voxelscited by 344
- 2022NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstructioncited by 311
- 2019DeepView: View Synthesis with Learned Gradient Descentcited by 253
- 2019Differentiable Surface Splatting for Point-based Geometry Processingcited by 238
- 2022Tensor4D : Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Renderingcited by 217
- 2018PU-Net: Point Cloud Upsampling Networkcited by 208
- 2022Monocular Dynamic View Synthesis: A Reality Checkcited by 199
- 2023Robust Dynamic Radiance Fieldscited by 193
- 2023HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Samplingcited by 173
- 2022Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-timecited by 164
- 2022NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fieldscited by 151
- 2022Mixed Neural Voxels for Fast Multi-view Video Synthesiscited by 126
- 2019MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequencescited by 117
- 2023Forward Flow for Novel View Synthesis of Dynamic Scenescited by 67
- 2022MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videoscited by 63
- 2022MPS-NeRF: Generalizable 3D Human Rendering from Multiview Imagescited by 52
- 2023Representing Volumetric Videos as Dynamic MLP Mapscited by 51
- 2022Approximate Differentiable Rendering with Algebraic Surfacescited by 44
- 2022V4d: voxel for 4d novel view synthesiscited by 42
- 2022Relighting4D: Neural Relightable Human from Videoscited by 41
- 2021HVTR: Hybrid Volumetric-Textural Rendering for Human Avatarscited by 33
- 2023Flexible Techniques for Differentiable Rendering with 3D Gaussianscited by 28
- 2018Robust 3D Human Motion Reconstruction Via Dynamic Template Constructioncited by 13
- 2023GHuNeRF: Generalizable Human NeRF from a Monocular Videocited by 10
- 2023Generalizable Neural Voxels for Fast Human Radiance Fieldscited by 8
50 most cited of 51 All 51 (JSON)
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Citing papers per year: 2023: 60; 2024: 292; 2025: 423; 2026: 369.
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- 2023LangSplat: 3D Language Gaussian Splattingcited by 410
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- 2023DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenescited by 359
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38 more
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- 2023GART: Gaussian Articulated Template Modelscited by 121
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- 20234DGen: Grounded 4D Content Generation with Spatial-temporal Consistencycited by 117
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- 2024Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesiscited by 116
- 2024latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstructioncited by 114
- 2024Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splattingcited by 111
50 most cited of 1,144 All 1,144 (JSON)
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- 2026Reconstructing the Dynamic World: A Representation-Centric View of 4D Scene Reconstruction30 Sep 2026
- 2026Lens Flare Removal and Reconstruction30 Sep 2026
- 2026PartiCam: Camera Controlled Video Generation with Reward Guidance30 Sep 2026
- 2026Eulerian Motion Reconstruction for Water Scenery29 Sep 2026
- 2026DispFlow-GS: Displacement Flow Supervision with Motion Disentangling for Monocular Deformable 3D Gaussian Splatting29 Sep 2026
- 2026SurgGMF: Fully Causal Gaussian Motion Forecasting for Anticipatory Surgical Scene Rendering28 Sep 2026
- 2026Gaussian Splatting-based Volumetric Video Compression with Sparse 4D Anchors27 Sep 2026
- 2026Robot-GST: geometry-aware spatial-temporal robot policy representation and evaluation27 Sep 2026
- 2026ProDyGS: Dynamic Gaussian Splatting from a Single Static Monocular Camera26 Sep 2026
38 more
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- 2026GaussPDE: Graph-Based Partial Differential Equation-Driven Rendering for 3D Gaussian Splatting23 Sep 2026
- 2026Robust, Estimator-Agnostic Dynamic 3DGS Compression22 Sep 2026
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- 2026GARO: Geometry-Aware Redundancy Optimization for Real-Time and High-Fidelity Dynamic Gaussian Splatting20 Sep 2026
- 2026LINGO: Latent Initialization and Gradient Optimization for Sparse-view X-ray Novel View Synthesis and CT Reconstruction with 3D Gaussian Splatting19 Sep 2026
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- 2026Endo-TSR: Temporal Spectral Modeling of Appearance and Motion for Endoscopic Reconstruction26 Sep 2026
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