CONTRIBUTORS.md

Contributors

This file acknowledges the contributors to Eric's Image Processing Nodes for ComfyUI.

Project Lead & Primary Author

Eric Hiss (@EricRollei)

• Email: eric@historic.camera, eric@rollei.us
• Role: Project creator, maintainer, primary developer
• Contributions: All nodes, documentation, infrastructure

Third-Party Code & Libraries

This project builds upon excellent work from the research and open-source communities:

Algorithm Authors & Research Contributors

Kai Zhang (cszn)

• Algorithms: DnCNN, SCUNet, SwinIR (co-author)
• Source: https://github.com/cszn
• Contributions: Multiple state-of-the-art denoising algorithms

Jingyun Liang et al.

• Algorithm: SwinIR
• Source: https://github.com/JingyunLiang/SwinIR
• Paper: "SwinIR: Image Restoration Using Swin Transformer" (ICCV 2021)

Liangyu Chen et al.

• Algorithm: NAFNet
• Source: https://github.com/megvii-research/NAFNet
• Paper: "Simple Baselines for Image Restoration" (ECCV 2022)

Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, Karen Egiazarian

• Algorithm: BM3D
• Paper: "Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering" (IEEE TIP 2007)
• Seminal work in image denoising

lizhihao6

• Library: pytorch-bm3d (GPU-accelerated BM3D implementation)
• Source: https://github.com/lizhihao6/pytorch-bm3d
• License: MIT License
• Contribution: Makes BM3D practical for real-time use

DeepInv Contributors

• Library: DeepInv framework
• Source: https://github.com/deepinv/deepinv
• License: BSD 3-Clause License
• Contribution: Unified interface for multiple restoration models

XPixelGroup

• Library: DiffBIR (Diffusion-based Blind Image Restoration)
• Source: https://github.com/XPixelGroup/DiffBIR
• License: Apache 2.0
• Contribution: State-of-the-art diffusion-based restoration

Open Source Library Contributors

PyTorch Team

• Library: PyTorch
• License: BSD 3-Clause
• Essential deep learning framework

NumPy Developers

• Library: NumPy
• License: BSD 3-Clause
• Fundamental numerical computing

OpenCV Contributors

• Library: OpenCV
• License: Apache 2.0
• Computer vision fundamentals

PyWavelets Team

• Library: PyWavelets
• License: MIT
• Wavelet transform implementation

SciPy Developers

• Library: SciPy
• License: BSD 3-Clause
• Scientific computing tools

scikit-image Team

• Library: scikit-image
• License: BSD 3-Clause
• Image processing algorithms

CuPy Team

• Library: CuPy
• License: MIT
• GPU-accelerated NumPy equivalent

Hugging Face

• Library: transformers
• License: Apache 2.0
• Pretrained model infrastructure

Ross Wightman (rwightman)

• Library: timm (PyTorch Image Models)
• License: Apache 2.0
• Vision model architectures

Research Paper Citations

This project implements algorithms from numerous research papers. Complete citations are available in:

• LICENSE file (main credits)
• Docs/README.md (References section)
• Individual node file headers
• CITATION.cff (machine-readable format)

Community Contributors

How to Be Added

If you contribute to this project:

1. Code Contributions: Submit a pull request following the guidelines in CONTRIBUTING.md
2. Bug Reports: File detailed issues on GitHub
3. Documentation: Improve guides and examples
4. Testing: Help test and validate fixes

Significant contributors will be added to this file in recognition of their work.

Special Thanks

• ComfyUI Community: For building an amazing platform
• Research Community: For publishing open-access papers and code
• Open Source Contributors: For the libraries that make this possible

Contact

For questions about contributions or to report missing attributions:

• GitHub Issues: https://github.com/EricRollei/Eric_Image_Processing_Nodes/issues
• Email: eric@historic.camera

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Last Updated: November 6, 2025