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32 papers

Papers

2-Shots in the Dark: Low-Light Denoising with Minimal Data Acquisition CVPR 2026 RAW-Domain Degradation Models for Realistic Smartphone Super-Resolution CVPR 2026 SimROD: A Simple Baseline for Raw Object Detection with Global and Local Enhancements AAAI 2026 Beyond RGB: Adaptive Parallel Processing for RAW Object Detection ICCV 2025 Dark-ISP: Enhancing RAW Image Processing for Low-Light Object Detection ICCV 2025 Learning Deep Illumination-Robust Features from Multispectral Filter Array Images WACV 2025 Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising CVPR 2025 RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation WACV 2025 Removing Reflections from RAW Photos CVPR 2025 RGB-Event ISP: The Dataset and Benchmark ICLR 2025 Towards RAW Object Detection in Diverse Conditions CVPR 2025 BSRAW: Improving Blind RAW Image Super-Resolution WACV 2024 DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images AAAI 2024 Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis NeurIPS 2024 Logarithmic Lenses: Exploring Log RGB Data for Image Classification CVPR 2024 ParamISP: Learned Forward and Inverse ISPs using Camera Parameters CVPR 2024 Adaptive Illumination Mapping for Shadow Detection in Raw Images ICCV 2023 DarkFeat: Noise-Robust Feature Detector and Descriptor for Extremely Low-Light RAW Images AAAI 2023 Graphics2RAW: Mapping Computer Graphics Images to Sensor RAW Images ICCV 2023 NERDS: A General Framework to Train Camera Denoisers from Raw-RGB Noisy Image Pairs ICLR 2023 Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments CVPR 2023 RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image ICCV 2023 Raw Image Reconstruction With Learned Compact Metadata CVPR 2023 Toward RAW Object Detection: A New Benchmark and a New Model CVPR 2023 Abandoning the Bayer-Filter To See in the Dark CVPR 2022