mlsanityData to 14 Oct 2026

Neural Mesh-Based Graphics

arXiv 2208.05785 ↗First posted 10 Aug 2022cs.CVcited by 12

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Abstract (arXiv)

We revisit NPBG, the popular approach to novel view synthesis that introduced the ubiquitous point feature neural rendering paradigm. We are interested in particular in data-efficient learning with fast view synthesis. We achieve this through a view-dependent mesh-based denser point descriptor rasterization, in addition to a foreground/background scene rendering split, and an improved loss. By training solely on a single scene, we outperform NPBG, which has been trained on ScanNet and then scene finetuned. We also perform competitively with respect to the state-of-the-art method SVS, which has been trained on the full dataset (DTU and Tanks and Temples) and then scene finetuned, in spite of their deeper neural renderer.

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 44 of its 69 references that are in the map. First posted on arXiv 10 Aug 2022.

Builds on

44 of 69 references.

References · 44

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32 more
  1. 2019Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representationscited by 864
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  5. 2021MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereocited by 740
  6. 2021IBRNet: Learning Multi-View Image-Based Renderingcited by 703
  7. 2019Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervisioncited by 700
  8. 2021KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPscited by 673
  9. 2019Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelinescited by 672
  10. 2021RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputscited by 615
  11. 2021FastNeRF: High-Fidelity Neural Rendering at 200FPScited by 511
  12. 2021Baking Neural Radiance Fields for Real-Time View Synthesiscited by 468
  13. 2021Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesiscited by 464
  14. 2021Light Field Networks: Neural Scene Representations with Single-Evaluation Renderingcited by 332
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  16. 2020Free View Synthesiscited by 231
  17. 2021NeX: Real-time View Synthesis with Neural Basis Expansioncited by 216
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  19. 2017Learning a Multi-View Stereo Machinecited by 194
  20. 2015DeepStereo: Learning to Predict New Views from the World's Imagerycited by 185
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  27. 2019Revealing Scenes by Inverting Structure from Motion Reconstructionscited by 66
  28. 2020ANR: Articulated Neural Rendering for Virtual Avatarscited by 55
  29. 2021Point-Based Modeling of Human Clothingcited by 37
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  32. 2022Learning Generalizable Light Field Networks from Few Imagescited by 10

Built on by

Cited by year

Citing papers per year: 2023: 4; 2024: 5; 2025: 3.

12 papers.

  1. 20234K4D: Real-Time 4D View Synthesis at 4K Resolutioncited by 91
  2. 2024SparseCraft: Few-Shot Neural Reconstruction through Stereopsis Guided Geometric Linearizationcited by 19
  3. 2024Unsupervised Occupancy Learning from Sparse Point Cloudcited by 15
  4. 2025Sparfels: Fast Reconstruction from Sparse Unposed Imagerycited by 8
  5. 2023FPO++: Efficient Encoding and Rendering of Dynamic Neural Radiance Fields by Analyzing and Enhancing Fourier PlenOctreescited by 7
  6. 2025SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splattingcited by 7
  7. 2023Artist-Friendly Relightable and Animatable Neural Headscited by 6
  8. 2024GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learningcited by 5
  9. 2024Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversariescited by 5
  10. 2024Toward Robust Neural Reconstruction from Sparse Point Setscited by 5
  11. 2023Depth self-supervision for single image novel view synthesiscited by 0
  12. 2025UrbanCraft: Urban View Extrapolation via Hierarchical Sem-Geometric Priorscited by 0