SOTAVerified

Image Manipulation

Image Manipulation is the process of altering or transforming an existing image to achieve a desired effect or to modify its content. This can involve various techniques and tools to enhance, modify, or create images based on specific requirements.

Papers

Showing 226–250 of 427 papers

TitleStatusHype
FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs—0
Learning Long-Term Style-Preserving Blind Video Temporal Consistency—0
UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization—0
FaceShop: Deep Sketch-based Face Image Editing—0
FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing—0
LEGION: Learning to Ground and Explain for Synthetic Image Detection—0
LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning—0
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation—0
ExSinGAN: Learning an Explainable Generative Model from a Single Image—0
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion—0
Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection—0
Universal Image Manipulation Detection using Deep Siamese Convolutional Neural Network—0
AIM 2019 Challenge on Image Demoireing: Dataset and Study—0
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation—0
M^3:Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Mask—0
Exploiting Spatial Structure for Localizing Manipulated Image Regions—0
Manipulation Detection in Satellite Images Using Vision Transformer—0
Manipulation Mask Generator: High-Quality Image Manipulation Mask Generation Method Based on Modified Total Variation Noise Reduction—0
Unpaired Learning for High Dynamic Range Image Tone Mapping—0
A Geodesic-Preserving Method for Image Warping—0
Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning—0
Erasing Appearance Preservation in Optimization-based Smoothing—0
MDE-Edit: Masked Dual-Editing for Multi-Object Image Editing via Diffusion Models—0
Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis—0
Meta-Auxiliary Network for 3D GAN Inversion—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Pix2PixHD-SIALPIPS (S1)0.44—Unverified
2TPSLPIPS (S1)0.12—Unverified