Raw Image Collection

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🔮Psychic

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“🏞 A fast, open-source, modern image viewer for 90+ formats – including WEBP, GIF, SVG, AVIF, JXL, HEIC and more – built for smooth browsing across Windows, macOS, and Linux.”

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⚡Thunder

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“📸 A well documented, high-level Android interface that makes capturing pictures and videos easy, addressing all of the common issues and needs. Real-time filters, gestures, watermarks, frame processing, RAW, output of any size.”

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🔥Fire

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“一款简约且飞快的看图软件，支持 AVIF、HEIC、JPEG-XL 和 实况照片 等超多新兴图像格式！A minimalist and lightning-fast image viewer that supports a wide range of emerging image formats such as AVIF, HEIC, JPEG-XL, and Live Photos!”

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🔥Fire

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“Filmulator --- Simplified raw editing with the power of film”

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⚙️Steel

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“Camera RAW to DNG file format converter”

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🔮Psychic

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“[ICCV 2023] Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising && [Arxiv 2023] Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model && [NeurIPS 2025] UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes”

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🔮Psychic

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“A cross-platform image viewer which supports reading raw Luminance/YUV/RGB/ARGB/Bayer pixels data from file and rendering it.”

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📦Normal

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“computational zoom from raw sensor data”

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💻Normal

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“This project provides all you need to create an unattended installation of a minimal setup of Linux.”

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📦Normal

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“PhotoStructure for Servers”

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🔥Fire

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“Open-source RAW photo processing and digital asset management software.”

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🔮Psychic

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“Rethinking Noise Synthesis and Modeling in Raw Denoising (ICCV2021)”

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🔮Psychic

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“ACMMM'24 An End-to-End Real-World Camera Imaging Pipeline”

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🔮Psychic

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“Learning to See in the Dark in PyTorch”

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⚔️Fighting

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“Decode or convert RAW camera images using JavaScript”

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🔮Psychic

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“Open source digital rocks software platform for micro-CT, CT, thin sections and borehole image analysis. Includes tools for: annotation, AI, HPC, porous media flow simulation, porosity analysis, permeability analysis and much more.”

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🔮Psychic

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“Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising”

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⚙️Steel

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“A lightning-fast cross-platform image viewer written in Rust”