Image Relighting
15 papers with code • 1 benchmarks • 2 datasets
Image relighting involves changing the illumination settings of an image.
Benchmarks
These leaderboards are used to track progress in Image Relighting
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Libraries
Use these libraries to find Image Relighting models and implementations
VIDIT
Dynamic OLAT Dataset
Most implemented papers
Scale-recurrent Network for Deep Image Deblurring
jiangsutx/SRN-Deblur
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CVPR 2018
In single image deblurring, the "coarse-to-fine" scheme, i. e. gradually restoring the sharp image on different resolutions in a pyramid, is very successful in both traditional optimization-based methods and recent neural-network-based approaches.
NTIRE 2021 Depth Guided Image Relighting Challenge
In this paper, we review the NTIRE 2021 depth guided image relighting challenge.
VIDIT: Virtual Image Dataset for Illumination Transfer
Deep image relighting is gaining more interest lately, as it allows photo enhancement through illumination-specific retouching without human effort.
AIM 2020: Scene Relighting and Illumination Estimation Challenge
The first track considered one-to-one relighting; the objective was to relight an input photo of a scene with a different color temperature and illuminant orientation (i. e., light source position).
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing
proteus1991/GridDehazeNet
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ICCV 2019
The proposed hazing method does not rely on the atmosphere scattering model, and we provide an explanation as to why it is not necessarily beneficial to take advantage of the dimension reduction offered by the atmosphere scattering model for image dehazing, even if only the dehazing results on synthetic images are concerned.
Scene relighting with illumination estimation in the latent space on an encoder-decoder scheme
martin-ev/2DSceneRelighting
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The image relighting task of transferring illumination conditions between two images offers an interesting and difficult challenge with potential applications in photography, cinematography and computer graphics.
2D Image Relighting with Image-to-Image Translation
Paul92/cp_2020
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This problem is not a trivial one and can become even more complicated if we want to change the direction of the light source from any direction to a specific one.
Deep Relighting Networks for Image Light Source Manipulation
Manipulating the light source of given images is an interesting task and useful in various applications, including photography and cinematography.
Relighting Images in the Wild with a Self-Supervised Siamese Auto-Encoder
We propose a self-supervised method for image relighting of single view images in the wild.
Multi-scale Self-calibrated Network for Image Light Source Transfer
mdswyz/MCN-light-source-transfer
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However, many problems for scene reconversion and shadow estimation tasks, including uncalibrated feature information and poor semantic information, are still unresolved, thereby resulting in insufficient feature representation.
