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computational-photography x

23 search results found

Texturize ⭐ 606

🤖🖌️ 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.

Image Adaptive 3dlut ⭐ 556

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

Exposure ⭐ 511

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

Deep_white_balance ⭐ 418

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

Deeplpf ⭐ 175

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

Deephdr ⭐ 169

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

Deepharmonization ⭐ 102

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

Defocus Deblurring Dual Pixel ⭐ 97

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.

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

Handheld Multi Frame Super Resolution ⭐ 79

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

Learning Blind Motion Deblurring ⭐ 75

Multiframe Image Deconvolution (ICCV17)

Monodepth360 ⭐ 39

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

Exposurefusion ⭐ 31

Exposure Fusion Technique

Recurrent Defocus Deblurring Synth Dual Pixel ⭐ 30

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 re

Relighting ⭐ 21

Local Relighting of Real Scenes

Multi Task Defocus Deblurring Dual Pixel Nimat ⭐ 20

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 improvem

Colorize Video ⭐ 19

colorize video using publicly available neural-networks

Compennest Plusplus ⭐ 10

[PAMI] End-to-end Full Projector Compensation

Dolly Zoom ⭐ 8

Dolly zoom without a zoom lens

Exposure Fusion ⭐ 7

Exposure Fusion: A Python Module for fast HDR image processing

Blind Dehazing ⭐ 7

An implementation of the ICCP '16 paper "Blind Dehazing Using Internal Patch Recurrence".

Image Blending Graphcuts ⭐ 6

Blending two images photorealistically using graphcuts

Treenhance ⭐ 5

Official implementation of the paper "TreEnhance: A Tree Search Method For Low-Light Image Enhancement"

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