mlsanityData to 7 Oct 2026

TriNeRFLet: A Wavelet Based Triplane NeRF Representation

arXiv 2401.06191 ↗First posted 11 Jan 2024cs.CVcited by 8

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Abstract (arXiv)

In recent years, the neural radiance field (NeRF) model has gained popularity due to its ability to recover complex 3D scenes. Following its success, many approaches proposed different NeRF representations in order to further improve both runtime and performance. One such example is Triplane, in which NeRF is represented using three 2D feature planes. This enables easily using existing 2D neural networks in this framework, e.g., to generate the three planes. Despite its advantage, the triplane representation lagged behind in its 3D recovery quality compared to NeRF solutions. In this work, we propose TriNeRFLet, a 2D wavelet-based multiscale triplane representation for NeRF, which closes the 3D recovery performance gap and is competitive with current state-of-the-art methods. Building upon the triplane framework, we also propose a novel super-resolution (SR) technique that combines a diffusion model with TriNeRFLet for improving NeRF resolution.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 37 of its 44 references that are in the map. First posted on arXiv 11 Jan 2024.

Builds on

37 of 44 references.

References · 37

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  12. 2020NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collectionscited by 1,230
25 more
  1. 2021Efficient Geometry-aware 3D Generative Adversarial Networkscited by 1,204
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 7; 2026: 1.

8 papers.

  1. 2025From Coarse to Fine: Learnable Discrete Wavelet Transforms for Efficient 3D Gaussian Splattingcited by 6
  2. 2025Delta-Triplane Transformers as Occupancy World Modelscited by 5
  3. 2025DWTGS: Rethinking Frequency Regularization for Sparse-view 3D Gaussian Splattingcited by 5
  4. 2025Frequency-Aware Gaussian Splatting Decompositioncited by 2
  5. 2025WIPES: Wavelet-based Visual Primitivescited by 2
  6. 2025ROODI: Reconstructing Occluded Objects with Denoising Inpainterscited by 1
  7. 2026Learnable Multi-level Discrete Wavelet Transforms for 3D Gaussian Splatting Frequency Modulationcited by 1
  8. 2025DIP-GS: Deep Image Prior For Gaussian Splatting Sparse View Recoverycited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025DT-NeRF: A Diffusion and Transformer-Based Optimization Approach for Neural Radiance Fields in 3D Reconstruction
  2. 2023Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
  3. 2024ID-NeRF: Indirect Diffusion-guided Neural Radiance Fields for Generalizable View Synthesis
  4. 2023NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
  5. 2024DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF
  6. 2023Learning a Diffusion Prior for NeRFs
  7. 2024Taming Latent Diffusion Model for Neural Radiance Field Inpainting
  8. 2024Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields