https://github.com/cfintech/awesome-implicit-neural-representations
A latest curated list of resources on implicit neural representations.
https://github.com/cfintech/awesome-implicit-neural-representations
List: awesome-implicit-neural-representations
awesome-list inr neural-rendering
Last synced: 4 months ago
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A latest curated list of resources on implicit neural representations.
- Host: GitHub
- URL: https://github.com/cfintech/awesome-implicit-neural-representations
- Owner: CFinTech
- Created: 2024-09-17T14:20:30.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-02-18T11:45:32.000Z (over 1 year ago)
- Last Synced: 2025-03-12T07:01:40.795Z (over 1 year ago)
- Topics: awesome-list, inr, neural-rendering
- Homepage:
- Size: 7.81 KB
- Stars: 8
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Awesome Implicit Neural Representations [](https://github.com/sindresorhus/awesome)
> A curated list of resources on implicit neural representations, inspired by [awesome-implicit-representations](https://github.com/vsitzmann/awesome-implicit-representations).
## Motivation
**I**mplicit **N**eural **R**epresentations **(INR)** have long been an intriguing topic, and in recent years, several classic works on implicit neural representations have emerged. However, there has been a lack of a comprehensive repository to organize these works. Some similar repositories stopped updating in recent years, leaving the latest papers on implicit neural representations uncollected. Therefore, I have created this repository with the hope of organizing the development trajectory of this field as I read through the latest papers.
### Survey
- **[2023 ICCV]** [Implicit Neural Representation in Medical Imaging: A Comparative Survey](https://arxiv.org/abs/2307.16142) Amirali Molaei et al.
## Paper
### Theory
- **[2018 NeurIPS]** [Neural Tangent Kernel: Convergence and Generalization in Neural Networks](https://arxiv.org/abs/1806.07572) Arthur Jacot et al.
### New Architecture
- **[2024 CVPR]** [Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?](http://arxiv.org/abs/2403.06092) Hanxin Zhu et al.
- **[2024 CVPR]** [SketchINR: A First Look into Sketches as Implicit Neural Representations](https://arxiv.org/abs/2403.09344) Hmrishav Bandyopadhyay et al.
### Faster training
- **[2024 arXiv]** [FreSh: Frequency Shifting for Accelerated Neural Representation Learning](https://arxiv.org/abs/2410.05050) Adam Kania et al.
### High Representation Ability
- :star: **[2020 NeurIPS]** [Implicit Neural Representations with Periodic Activation Functions](http://arxiv.org/abs/2006.09661) Vincent Sitzmann et al.
- **[2020 NeurIPS]** [Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains](http://arxiv.org/abs/2006.10739) Matthew Tancik et al.
- **[2024 CVPR]** [Improved Implicit Neural Representation with Fourier Reparameterized Training](http://arxiv.org/abs/2401.07402) Shuhang Gu et al.
- **[2023 CVPR]** [Regularize implicit neural representation by itself](http://arxiv.org/abs/2303.15484) Zhemin Li et al.
### Data Representation (Image)
- **[2021 CVPR]** [Learned Initializations for Optimizing Coordinate-Based Neural Representations](http://arxiv.org/abs/2012.02189) Matthew Tancik et al.
### Data Representation (3D Scene)
- :star: **[2020 ECCV]** [NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis](http://arxiv.org/abs/2003.08934) Pratul P. Srinivasan et al.
- **[2022 ECCV]** [R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis](http://arxiv.org/abs/2203.17261) Huan Wang et al.
- **[2022 ECCV]** [TensoRF: Tensorial Radiance Fields](https://arxiv.org/abs/2203.09517) Anpei Chen et al.
- **[2022 CVPR]** [Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction](https://arxiv.org/abs/2111.11215) Cheng Sun et al.
- **[2022 SIGGRAPH]** [Instant Neural Graphics Primitives with a Multiresolution Hash Encoding](https://arxiv.org/abs/2201.05989) Thomas Müller et al.
### Data Representation (Video)
### Data Representation (Neural Network)
- **[2023 ICLR]** [NeRN -- Learning Neural Representations for Neural Networks](https://arxiv.org/abs/2212.13554) Maor Ashkenazi et al.
- **[2025 arXiv]** [Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization](https://arxiv.org/abs/2407.00356) Hongjun Choi et al.
### Data Compression
- **[2021 ICLR]** [COIN: COmpression with Implicit Neural Representations](https://arxiv.org/abs/2103.03123) Emilien Dupont et al.
## Related repo
- [Awesome NeRF](https://github.com/awesome-NeRF/awesome-NeRF)
- [Awesome Implicit Representations](https://github.com/vsitzmann/awesome-implicit-representations)
- [Awesome Implicit NeRF Robotics](https://github.com/zubair-irshad/Awesome-Implicit-NeRF-Robotics)
- [Awesome Implicit Neural Representations in Medical Imaging](https://github.com/xmindflow/Awesome-Implicit-Neural-Representations-in-Medical-imaging)
## Related Workshop
- [INRV](https://inrv.github.io/)