Eric Rollei
454b840c2f
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)
105 lines
3.3 KiB
YAML
105 lines
3.3 KiB
YAML
cff-version: 1.2.0
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message: "If you use this software, please cite it as below."
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type: software
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title: "Eric's Image Processing Nodes for ComfyUI"
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abstract: "Advanced image processing nodes for ComfyUI providing 40+ algorithms including traditional denoising (wavelet, NLM, BM3D), AI models (DnCNN, SwinIR, SCUNet, NAFNet), frequency domain processing, and specialized film grain handling with GPU acceleration."
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authors:
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- family-names: "Hiss"
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given-names: "Eric"
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email: "eric@historic.camera"
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alias: "EricRollei"
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repository-code: "https://github.com/EricRollei/Eric_Image_Processing_Nodes"
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url: "https://github.com/EricRollei/Eric_Image_Processing_Nodes"
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license: "CC-BY-NC-4.0"
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version: "1.0.0"
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date-released: "2025-11-06"
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keywords:
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- "image processing"
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- "denoising"
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- "ComfyUI"
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- "computer vision"
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- "deep learning"
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- "wavelet"
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- "BM3D"
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- "film grain"
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- "GPU acceleration"
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- "image restoration"
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references:
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- type: article
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title: "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
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authors:
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- family-names: "Zhang"
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given-names: "Kai"
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- family-names: "Zuo"
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given-names: "Wangmeng"
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- family-names: "Chen"
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given-names: "Yunjin"
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- family-names: "Meng"
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given-names: "Deyu"
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- family-names: "Zhang"
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given-names: "Lei"
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journal: "IEEE Transactions on Image Processing"
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volume: 26
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issue: 7
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year: 2017
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doi: "10.1109/TIP.2017.2662206"
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notes: "DnCNN algorithm implementation"
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- type: conference-paper
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title: "Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis"
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authors:
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- family-names: "Zhang"
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given-names: "Kai"
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- family-names: "Li"
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given-names: "Yawei"
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- family-names: "Liang"
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given-names: "Jingyun"
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conference: "European Conference on Computer Vision (ECCV)"
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year: 2022
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notes: "SCUNet algorithm implementation"
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- type: conference-paper
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title: "SwinIR: Image Restoration Using Swin Transformer"
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authors:
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- family-names: "Liang"
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given-names: "Jingyun"
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- family-names: "Cao"
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given-names: "Jiezhang"
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- family-names: "Sun"
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given-names: "Guolei"
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conference: "IEEE/CVF International Conference on Computer Vision (ICCV)"
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year: 2021
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doi: "10.1109/ICCVW54120.2021.00210"
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notes: "SwinIR algorithm implementation"
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- type: conference-paper
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title: "Simple Baselines for Image Restoration"
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authors:
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- family-names: "Chen"
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given-names: "Liangyu"
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- family-names: "Chu"
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given-names: "Xiaojie"
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- family-names: "Zhang"
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given-names: "Xiangyu"
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conference: "European Conference on Computer Vision (ECCV)"
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year: 2022
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notes: "NAFNet algorithm implementation"
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- type: article
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title: "Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering"
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authors:
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- family-names: "Dabov"
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given-names: "Kostadin"
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- family-names: "Foi"
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given-names: "Alessandro"
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- family-names: "Katkovnik"
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given-names: "Vladimir"
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- family-names: "Egiazarian"
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given-names: "Karen"
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journal: "IEEE Transactions on Image Processing"
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volume: 16
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issue: 8
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year: 2007
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doi: "10.1109/TIP.2007.901238"
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notes: "BM3D algorithm (GPU-accelerated implementation via pytorch-bm3d)"
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