Image Retouching

9 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

Deep Bilateral Learning for Real-Time Image Enhancement

google/hdrnet 10 Jul 2017

For this, we introduce a new neural network architecture inspired by bilateral grid processing and local affine color transforms.

Neural Color Operators for Sequential Image Retouching

amberwangyili/neurop 17 Jul 2022

The neural color operator mimics the behavior of traditional color operators and learns pixelwise color transformation while its strength is controlled by a scalar.

Conditional Sequential Modulation for Efficient Global Image Retouching

hejingwenhejingwen/CSRNet ECCV 2020

The base network acts like an MLP that processes each pixel independently and the condition network extracts the global features of the input image to generate a condition vector.

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

HuiZeng/Image-Adaptive-3DLUT 30 Sep 2020

The small CNN works on the down-sampled version of the input image to predict content-dependent weights to fuse the multiple basis 3D LUTs into an image-adaptive one, which is employed to transform the color and tone of source images efficiently.

Learning Diverse Tone Styles for Image Retouching

ssrheart/tsflow 12 Jul 2022

In particular, the style encoder predicts the target style representation of an input image, which serves as the conditional information in the RetouchNet for retouching, while the TSFlow maps the style representation vector into a Gaussian distribution in the forward pass.

RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filters

vicky0522/rsfnet ICCV 2023

Therefore, there is a need for white-box approaches that produce satisfying results and enable users to conveniently edit their images simultaneously.

Generalized Lightness Adaptation with Channel Selective Normalization

mdyao/csnorm ICCV 2023

Existing methods typically work well on their trained lightness conditions but perform poorly in unknown ones due to their limited generalization ability.

WaveNet: Wave-Aware Image Enhancement

DeniJsonC/WaveNet The Pacific Conference on Computer Graphics and Applications, Pacific Graphics 2023

In this paper, we formulate the enhancement into a signal modulation problem and propose the WaveNet architecture, which performs well in various parameters and improves the feature expression using wave-like feature representation.