Papers Image Retouching
“Image Retouching” 태그가 달린 논문 19편 · 필터 해제
MonetGPT: Solving Puzzles Enhances MLLMs' Image Retouching Skills
Retouching is an essential task in post-manipulation of raw photographs. Generative editing, guided by text or strokes, provides a new tool accessible to users but can easily change the identity of the original objects i…
Image RetouchingLarge Language ModelMultimodal Large Language ModelLearning Adaptive Lighting via Channel-Aware Guidance
Learning lighting adaptation is a crucial step in achieving good visual perception and supporting downstream vision tasks. Current research often addresses individual light-related challenges, such as high dynamic range …
Exposure CorrectionImage RetouchingDiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts
Image retouching aims to enhance the visual quality of photos. Considering the different aesthetic preferences of users, the target of retouching is subjective. However, current retouching methods mostly adopt determinis…
Contrastive LearningDiversityImage RetouchingTaming Lookup Tables for Efficient Image Retouching
The widespread use of high-definition screens in edge devices, such as end-user cameras, smartphones, and televisions, is spurring a significant demand for image enhancement. Existing enhancement models often optimize fo…
CPUGPUImage EnhancementImage RetouchingVRetouchEr: Learning Cross-frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos
Face Video Retouching is a complex task that often requires labor-intensive manual editing. Conventional image retouching methods perform less satisfactorily in terms of generalization performance and stability when …
Image RetouchingStyleRetoucher: Generalized Portrait Image Retouching with GAN Priors
Creating fine-retouched portrait images is tedious and time-consuming even for professional artists. There exist automatic retouching methods, but they either suffer from over-smoothing artifacts or lack generalization a…
feature selectionImage RetouchingRetouchUAA: Unconstrained Adversarial Attack via Image Retouching
Deep Neural Networks (DNNs) are susceptible to adversarial examples. Conventional attacks generate controlled noise-like perturbations that fail to reflect real-world scenarios and hard to interpretable. In contrast, rec…
Adversarial AttackDecision MakingImage RetouchingWaveNet: Wave-Aware Image Enhancement
As a low-level vision task, image enhancement is widely used in various computer vision applications. Recently, multiple methods combined with CNNs, MLP, Transformer, and the Fourier transform have achieved promising res…
Image EnhancementImage RetouchingLow-Light Image EnhancementGeneralized Lightness Adaptation with Channel Selective Normalization
Lightness adaptation is vital to the success of image processing to avoid unexpected visual deterioration, which covers multiple aspects, e.g., low-light image enhancement, image retouching, and inverse tone mapping. Exi…
Image EnhancementImage Retouchinginverse tone mappingInverse-Tone-Mapping+2RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filters
Retouching images is an essential aspect of enhancing the visual appeal of photos. Although users often share common aesthetic preferences, their retouching methods may vary based on their individual preferences. Therefo…
Image EnhancementImage RetouchingPhoto RetouchingText-Guided Mask-free Local Image Retouching
In the realm of multi-modality, text-guided image retouching techniques emerged with the advent of deep learning. Most currently available text-guided methods, however, rely on object-level supervision to constrain the r…
Deep LearningImage RetouchingNeural Color Operators for Sequential Image Retouching
We propose a novel image retouching method by modeling the retouching process as performing a sequence of newly introduced trainable neural color operators. The neural color operator mimics the behavior of traditional co…
DecoderImage EnhancementImage RetouchingLearning Diverse Tone Styles for Image Retouching
Image retouching, aiming to regenerate the visually pleasing renditions of given images, is a subjective task where the users are with different aesthetic sensations. Most existing methods deploy a deterministic model to…
Image RetouchingCascade Luminance and Chrominance for Image Retouching: More Like Artist
Photo retouching aims to adjust the luminance, contrast, and saturation of the image to make it more human aesthetically desirable. However, artists' actions in photo retouching are difficult to quantitatively analyze. B…
Image RetouchingPhoto RetouchingVery Lightweight Photo Retouching Network with Conditional Sequential Modulation
Photo retouching aims at improving the aesthetic visual quality of images that suffer from photographic defects, especially for poor contrast, over/under exposure, and inharmonious saturation. In practice, photo retouchi…
Image RetouchingPhoto RetouchingLearning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time
Recent years have witnessed the increasing popularity of learning based methods to enhance the color and tone of photos. However, many existing photo enhancement methods either deliver unsatisfactory results or consume t…
4kGPUImage EnhancementImage Retouching+1Conditional Sequential Modulation for Efficient Global Image Retouching
Photo retouching aims at enhancing the aesthetic visual quality of images that suffer from photographic defects such as over/under exposure, poor contrast, inharmonious saturation. Practically, photo retouching can be ac…
Image RetouchingPhoto RetouchingThe Point Where Reality Meets Fantasy: Mixed Adversarial Generators for Image Splice Detection
Modern photo editing tools allow creating realistic manipulated images easily. While fake images can be quickly generated, learning models for their detection is challenging due to the high variety of tampering artifacts…
16kImage RetouchingSemantic SegmentationDeep Bilateral Learning for Real-Time Image Enhancement
Performance is a critical challenge in mobile image processing. Given a reference imaging pipeline, or even human-adjusted pairs of images, we seek to reproduce the enhancements and enable real-time evaluation. For this,…
Image EnhancementImage Retouching