mlsanityData to 7 Oct 2026

Methods and strategies for improving the novel view synthesis quality of neural radiation field

arXiv 2401.12451 ↗First posted 23 Jan 2024cs.CV cs.AIcited by 0

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Abstract (arXiv)

Neural Radiation Field (NeRF) technology can learn a 3D implicit model of a scene from 2D images and synthesize realistic novel view images. This technology has received widespread attention from the industry and has good application prospects. In response to the problem that the rendering quality of NeRF images needs to be improved, many researchers have proposed various methods to improve the rendering quality in the past three years. The latest relevant papers are classified and reviewed, the technical principles behind quality improvement are analyzed, and the future evolution direction of quality improvement methods is discussed. This study can help researchers quickly understand the current state and evolutionary context of technology in this field, which is helpful in inspiring the development of more efficient algorithms and promoting the application of NeRF technology in related fields.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 25 of its 37 references that are in the map. First posted on arXiv 23 Jan 2024.

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25 of 37 references.

References · 25

  1. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  2. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,013
  3. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,607
  4. 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 961
  5. 2022Latent-NeRF for Shape-Guided Generation of 3D Shapes and Texturescited by 506
  6. 2022Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representationcited by 243
  7. 2022NoPe-NeRF: Optimising Neural Radiance Field with No Pose Priorcited by 235
  8. 2021Learning Object-Compositional Neural Radiance Field for Editable Scene Renderingcited by 228
  9. 2021BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Renderingcited by 228
  10. 2022Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-timecited by 164
  11. 2022NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priorscited by 156
  12. 2022SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fieldscited by 144
13 more
  1. 2023DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Modelscited by 127
  2. 2022EfficientNeRF: Efficient Neural Radiance Fieldscited by 110
  3. 2022Neural 3D Reconstruction in the Wildcited by 79
  4. 2023SeaThru-NeRF: Neural Radiance Fields in Scattering Mediacited by 75
  5. 2022DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priorscited by 70
  6. 2022Removing Objects From Neural Radiance Fieldscited by 66
  7. 2023Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervisioncited by 44
  8. 2023ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fieldscited by 43
  9. 2023Relighting Neural Radiance Fields with Shadow and Highlight Hintscited by 41
  10. 2022AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Trainingcited by 31
  11. 2023NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffoldscited by 16
  12. 2022GazeNeRF: 3D-Aware Gaze Redirection with Neural Radiance Fieldscited by 12
  13. 2023Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fieldscited by 12

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