computational-photography

There are 113 repositories under computational-photography topic.

  • PhotonCamera

    eszdman/PhotonCamera

    Android Camera that uses Enhanced image processing

    Language:Java894349482

  • HuiZeng/Image-Adaptive-3DLUT

    Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

    Language:Python8702483135

  • yuanming-hu/exposure

    Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

    Language:Python7743057155
  • texturize

    texturedesign/texturize

    🤖🖌️ Generate photo-realistic textures based on source images or (soon) PBR materials. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

    Language:Python739152833
  • HiDT

    advimman/HiDT

    Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

    Language:Jupyter Notebook653951386
  • Deep_White_Balance

    mahmoudnafifi/Deep_White_Balance

    Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

    Language:Python582251771
  • Exposure_Correction

    mahmoudnafifi/Exposure_Correction

    Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).

    Language:MATLAB567292770

  • mv-lab/AISP

    AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Image Enhancement, Bokeh rendering and more!

    Language:Jupyter Notebook504152356
  • WB_sRGB

    mahmoudnafifi/WB_sRGB

    White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]

    Language:MATLAB368111564

  • sjmoran/deeplpf-image-enhancement

    Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"

    Language:Python246161629

  • sjmoran/curl-image-enhancement

    Code for the ICPR 2020 paper: "CURL: Neural Curve Layers for Image Enhancement"

    Language:Jupyter Notebook215113433

  • cidautai/DarkIR

    CVPR 2025 DarkIR: Robust Low-Light Image Restoration - State of the art low light deblurring. NTIRE 2025 Best Method. [Official PyTorch Implementation]

    Language:Python2093016

  • Abdullah-Abuolaim/defocus-deblurring-dual-pixel

    Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduce defocus blur.

    Language:Python20171823

  • elliottwu/DeepHDR

    This is the implementation for Deep High Dynamic Range Imaging with Large Foreground Motions (ECCV'18)

    Language:Python18691539

  • visionxiang/awesome-computational-photography

    A curated list of awesome resources for topics related to computational photography via deep learning, which mainly focuses on image alignment and stitching.

    1647116

  • wasidennis/DeepHarmonization

    Demo code of the paper: "Deep Image Harmonization", Y.-H. Tsai, X. Shen, Z. Lin, K. Sunkavalli, X. Lu and M.-H. Yang, CVPR 2017

    Language:Python15151133

  • Tengfei-Wang/DCSR

    [ICCV 2021 (Oral Presentation)] Dual-Camera Super-Resolution with Aligned Attention Modules (RefSR)

    Language:Python147112234

  • Jamy-L/Handheld-Multi-Frame-Super-Resolution

    Handheld Multi-image Super-resolution [Wronski et al., SIGGRAPH19]. Non-official GPU-supported Python implementation.

    Language:Python14562621
  • C5

    mahmoudnafifi/C5

    Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)

    Language:Python11841620

  • cgtuebingen/learning-blind-motion-deblurring

    Multiframe Image Deconvolution (ICCV17)

    Language:Python11115031

  • cuiziteng/Aleth-NeRF

    🌕 [AAAI 2024] Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption (Low-light enhance / Exposure correction + NeRF)

    Language:Python951296

  • Rachine/ExposureFusion

    Exposure Fusion Technique

    Language:Python884224

  • cuiziteng/ECCV_RAW_Adapter

    📷 [ECCV 2024] RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images

    Language:Jupyter Notebook80585
  • CIE_XYZ_NET

    mahmoudnafifi/CIE_XYZ_NET

    PyTorch & Matlab code for the paper: CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks (TPAMI 2021).

    Language:MATLAB798917
  • light-field-renderer

    linusmossberg/light-field-renderer

    Interactive light field renderer using dynamically reparameterized light fields.

    Language:C++722211

  • yzhq97/distortion-free-wide-angle.pytorch

    Corrects perspective aberrations in wide-angle portraits. Implementation of the paper "Distortion-Free Wide-Angle Portraits on Camera Phones". Course project for 15-663 Computational Photography.

    Language:Python644212

  • kepengxu/RealCamNet

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

    Language:Python56111

  • Abdullah-Abuolaim/recurrent-defocus-deblurring-synth-dual-pixel

    Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Leveraging these realistic synthetic DP images, we introduce a new recurrent convolutional network (RCN) architecture that can improve defocus deblurring results and is suitable for use with single-frame and multi-frame data captured by DP sensors.

    Language:Python53479

  • Abdullah-Abuolaim/multi-task-defocus-deblurring-dual-pixel-nimat

    Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single blurry input image improves the network’s ability to learn to deblur the image. Our experiments show this multi-task strategy achieves +1dB PSNR improvement over state-of-the-art defocus deblurring methods. In addition, our multi-task framework allows accurate DP-view synthesis (e.g., ~ 39dB PSNR) from the single input image. These high-quality DP views can be used for other DP-based applications, such as reflection removal. As part of this effort, we have captured a new dataset of 7,059 high-quality images to support our training for the DP-view synthesis task.

    Language:Python50653

  • srijanparmeshwar/monodepth360

    Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs.

    Language:Python482310

  • yunchenlo/Font2Font

    An enhanced zi2zi project with word-oriented data augmentation, feature combination, and transfer learning.

    Language:Python394114

  • mauckc/colorize-video

    colorize video using publicly available neural-networks

    Language:Python37229

  • jqtangust/FilmRemoval

    [CVPR 2024] Official Implementation of Learning to Remove Wrinkled Transparent Film with Polarized Prior

    Language:Python35330

  • audreycui/relighting

    Local Relighting of Real Scenes

    Language:Python34503

  • ltkong218/SAFNet

    SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging (ECCV 2024)

    Language:Python333103

  • zhangmozhe/microshift_compression

    Microshift Compression: An Efficient Image Compression Algorithm for Hardware

    Language:Verilog322414