mlsanityData to 7 Oct 2026

Single-View View Synthesis with Multiplane Images

arXiv 2004.11364 ↗First posted 23 Apr 2020cs.CV cs.GRcited by 263

Not on the map. Why?

Cited by 25 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

A recent strand of work in view synthesis uses deep learning to generate multiplane images (a camera-centric, layered 3D representation) given two or more input images at known viewpoints. We apply this representation to single-view view synthesis, a problem which is more challenging but has potentially much wider application. Our method learns to predict a multiplane image directly from a single image input, and we introduce scale-invariant view synthesis for supervision, enabling us to train on online video. We show this approach is applicable to several different datasets, that it additionally generates reasonable depth maps, and that it learns to fill in content behind the edges of foreground objects in background layers. Project page at https://single-view-mpi.github.io/.

Key facts. Cited by 263 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Apr 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 44; 2022: 56; 2023: 66; 2024: 41; 2025: 42; 2026: 14.

263 papers.

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  1. 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,483
  2. 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 961
  3. 2021Depth-supervised NeRF: Fewer Views and Faster Training for Freecited by 732
  4. 2021KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPscited by 672
  5. 2023pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstructioncited by 668
  6. 2021BARF: Bundle-Adjusting Neural Radiance Fieldscited by 641
  7. 2021Dynamic View Synthesis from Dynamic Monocular Videocited by 420
  8. 2024ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesiscited by 392
  9. 2021GAN Inversion: A Surveycited by 366
  10. 2021Advances in Neural Renderingcited by 365
  11. 2023Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Priorcited by 341
  12. 2023ReconFusion: 3D Reconstruction with Diffusion Priorscited by 317
38 more
  1. 2021Mixture of Volumetric Primitives for Efficient Neural Renderingcited by 277
  2. 2023Generative Novel View Synthesis with 3D-Aware Diffusion Modelscited by 273
  3. 2022NoPe-NeRF: Optimising Neural Radiance Field with No Pose Priorcited by 235
  4. 2021GRAM: Generative Radiance Manifolds for 3D-Aware Image Generationcited by 216
  5. 2021NeX: Real-time View Synthesis with Neural Basis Expansioncited by 215
  6. 2024WonderWorld: Interactive 3D Scene Generation from a Single Imagecited by 197
  7. 2023Robust Dynamic Radiance Fieldscited by 193
  8. 2023COLMAP-Free 3D Gaussian Splattingcited by 193
  9. 2021InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Renderingcited by 180
  10. 2023SceneScape: Text-Driven Consistent Scene Generationcited by 160
  11. 2021NeRF--: Neural Radiance Fields Without Known Camera Parameterscited by 155
  12. 2022StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learningcited by 140
  13. 2023SparseGS: Sparse View Synthesis using 3D Gaussian Splattingcited by 134
  14. 2021MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesiscited by 133
  15. 2021Hallucinated Neural Radiance Fields in the Wildcited by 130
  16. 2022Mixed Neural Voxels for Fast Multi-view Video Synthesiscited by 126
  17. 2023Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fieldscited by 122
  18. 2022Streaming Radiance Fields for 3D Video Synthesiscited by 118
  19. 2023F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectoriescited by 118
  20. 2023Consistent View Synthesis with Pose-Guided Diffusion Modelscited by 117
  21. 2024latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstructioncited by 114
  22. 2024Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Imagecited by 113
  23. 2023Learning to Render Novel Views from Wide-Baseline Stereo Pairscited by 103
  24. 2021Geometry-Free View Synthesis: Transformers and no 3D Priorscited by 99
  25. 2021NeRF-SR: High-Quality Neural Radiance Fields using Supersamplingcited by 95
  26. 2021T"oRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesiscited by 88
  27. 2024V3D: Video Diffusion Models are Effective 3D Generatorscited by 88
  28. 2021Neural Trajectory Fields for Dynamic Novel View Synthesiscited by 85
  29. 2021PixelSynth: Generating a 3D-Consistent Experience from a Single Imagecited by 82
  30. 2022InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Imagescited by 82
  31. 2021Learning to Stylize Novel Viewscited by 76
  32. 2023Behind the Scenes: Density Fields for Single View Reconstructioncited by 63
  33. 2023NeRFiller: Completing Scenes via Generative 3D Inpaintingcited by 62
  34. 2022Interactive Segmentation of Radiance Fieldscited by 60
  35. 2022Single-View View Synthesis in the Wild with Learned Adaptive Multiplane Imagescited by 59
  36. 2022Generative Multiplane Images: Making a 2D GAN 3D-Awarecited by 57
  37. 2023ViVid-1-to-3: Novel View Synthesis with Video Diffusion Modelscited by 57
  38. 2022Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Imagecited by 55

50 most cited of 263 All 263 (JSON)