Node Header Updates: - Add proper attribution headers to 10+ key nodes - Include original paper citations with BibTeX - Document dependencies and licenses for each algorithm - Fix corrupted docstring in advanced_film_grain_node.py New Documentation Files: - CONTRIBUTING.md: Complete contribution guidelines - Code of conduct and expectations - Development setup instructions - Code style guidelines and templates - Pull request process - License agreement terms - Attribution requirements - CITATION.cff: Machine-readable citation format - GitHub displays 'Cite this repository' button - Includes all major research papers implemented - Properly formatted for academic use - .zenodo.json: Zenodo/DOI integration - Enables automatic DOI assignment on release - Links to all related research papers - Documents dependencies and relationships - CONTRIBUTORS.md: Recognition of contributors - Credits all algorithm authors - Acknowledges third-party libraries - Template for future contributors - Special thanks section Updated Nodes: - DnCNN, SCUNet, SwinIR, NAFNet (AI models) - BM3D GPU (algorithm implementation) - Wavelet, NLM, Richardson-Lucy, Wiener (traditional) - Advanced Film Grain, Frequency Enhancement - DeepInv (external service integration)
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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:
LICENSEfile (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:
- Code Contributions: Submit a pull request following the guidelines in
CONTRIBUTING.md - Bug Reports: File detailed issues on GitHub
- Documentation: Improve guides and examples
- 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
Last Updated: November 6, 2025