mlsanityData to 13 Oct 2026

Exploring Dynamic Novel View Synthesis Technologies for Cinematography

arXiv 2412.17532 ↗First posted 23 Dec 2024cs.CVcited by 1

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Abstract (arXiv)

Novel view synthesis (NVS) has shown significant promise for applications in cinematographic production, particularly through the exploitation of Neural Radiance Fields (NeRF) and Gaussian Splatting (GS). These methods model real 3D scenes, enabling the creation of new shots that are challenging to capture in the real world due to set topology or expensive equipment requirement. This innovation also offers cinematographic advantages such as smooth camera movements, virtual re-shoots, slow-motion effects, etc. This paper explores dynamic NVS with the aim of facilitating the model selection process. We showcase its potential through a short montage filmed using various NVS models.

Key facts. Cited by 1 paper in the map (data through 13 Oct 2026). Builds on 27 of its 56 references that are in the map. First posted on arXiv 23 Dec 2024.

Builds on

27 of 56 references.

References · 27

  1. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,170
  2. 2023DUSt3R: Geometric 3D Vision Made Easycited by 1,539
  3. 2020D-NeRF: Neural Radiance Fields for Dynamic Scenescited by 1,462
  4. 2021PlenOctrees for Real-time Rendering of Neural Radiance Fieldscited by 905
  5. 2023Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstructioncited by 756
  6. 2023K-Planes: Explicit Radiance Fields in Space, Time, and Appearancecited by 744
  7. 2023Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesiscited by 735
  8. 2023Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splattingcited by 474
  9. 2022Fast Dynamic Radiance Fields with Time-Aware Neural Voxelscited by 344
  10. 2021A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Posecited by 233
  11. 2022Tensor4D : Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Renderingcited by 217
  12. 2021ARCH++: Animation-Ready Clothed Human Reconstruction Revisitedcited by 174
15 more
  1. 2023HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Samplingcited by 174
  2. 2022TAVA: Template-free Animatable Volumetric Actorscited by 172
  3. 2021Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Renderingcited by 158
  4. 2021H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motioncited by 157
  5. 20243DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videoscited by 157
  6. 2021Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusioncited by 129
  7. 2021LASR: Learning Articulated Shape Reconstruction from a Monocular Videocited by 116
  8. 2023SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Fieldcited by 93
  9. 2023Neural Residual Radiance Fields for Streamably Free-Viewpoint Videoscited by 77
  10. 2023NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Cloudscited by 41
  11. 2022Neural Novel Actor: Learning a Generalized Animatable Neural Representation for Human Actorscited by 28
  12. 2023UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scenecited by 25
  13. 2024Evaluating Alternatives to SFM Point Cloud Initialization for Gaussian Splattingcited by 9
  14. 2024Finding Waldo: Towards Efficient Exploration of NeRF Scene Spacescited by 8
  15. 2024Gaussian Control with Hierarchical Semantic Graphs in 3D Human Recoverycited by 3

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Citing papers per year: 2025: 1.

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  1. 2025ViVo: A Dataset for Volumetric Video Reconstruction and Compressioncited by 1