Image Manipulation
157 papers with code • 1 benchmarks • 4 datasets
Libraries
Use these libraries to find Image Manipulation models and implementations
CelebAMask-HQ
LRS2
CASIA V2
Satire Dataset
Latest papers
ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing
We demonstrate that by serializing both an image and a multi-modal instruction into a textual representation it is possible to leverage LLMs to perform precise transformations of the layout and appearance of an image.
Deep Image Composition Meets Image Forgery
Unlike other automated data generation frameworks, we use state of the art image composition deep learning models to generate spliced images close to the quality of real-life manipulations.
Generalized Consistency Trajectory Models for Image Manipulation
1202kbs/gctm
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Diffusion-based generative models excel in unconditional generation, as well as on applied tasks such as image editing and restoration.
Visual Text Meets Low-level Vision: A Comprehensive Survey on Visual Text Processing
Our aim is to establish this survey as a fundamental resource, fostering continued exploration and innovation in the dynamic area of visual text processing.
Repositioning the Subject within Image
yikai-wang/res
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Our research reveals that the fundamental sub-tasks of subject repositioning, which include filling the void left by the repositioned subject, reconstructing obscured portions of the subject and blending the subject to be consistent with surrounding areas, can be effectively reformulated as a unified, prompt-guided inpainting task.
Learning to Manipulate Artistic Images
Recent advancement in computer vision has significantly lowered the barriers to artistic creation.
Inversion-Free Image Editing with Natural Language
We show that when the initial sample is known, a special variance schedule reduces the denoising step to the same form as the multi-step consistency sampling.
Exploring Multi-Modal Fusion for Image Manipulation Detection and Localization
Recent image manipulation localization and detection techniques usually leverage forensic artifacts and traces that are produced by a noise-sensitive filter, such as SRM and Bayar convolution.
A New Benchmark and Model for Challenging Image Manipulation Detection
Existing Image Manipulation Detection (IMD) methods are mainly based on detecting anomalous features arisen from image editing or double compression artifacts.
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
sled-group/cyclenet
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NeurIPS 2023
Our empirical studies show that Cyclenet is superior in translation consistency and quality, and can generate high-quality images for out-of-domain distributions with a simple change of the textual prompt.
