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

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Showing 101–150 of 427 papers

TitleStatusHype
One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic ModulationsCode1
Neural Imaging Pipelines - the Scourge or Hope of Forensics?Code1
Wavelet-Driven Generalizable Framework for Deepfake Face Forgery DetectionCode1
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic ModelsCode1
MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation DetectionCode1
Noise and Edge Based Dual Branch Image Manipulation DetectionCode1
Harmfully Manipulated Images Matter in Multimodal Misinformation DetectionCode1
StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGANCode1
MaskGAN: Towards Diverse and Interactive Facial Image ManipulationCode1
Analysing Statistical methods for Automatic Detection of Image ForgeryCode1
Lightweight Generative Adversarial Networks for Text-Guided Image ManipulationCode1
Not All Steps are Created Equal: Selective Diffusion Distillation for Image ManipulationCode1
Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative ModelsCode1
EasyDrag: Efficient Point-based Manipulation on Diffusion ModelsCode1
EdiBERT, a generative model for image editingCode1
CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector GraphicsCode1
Learning JPEG Compression Artifacts for Image Manipulation Detection and LocalizationCode1
Kornia: an Open Source Differentiable Computer Vision Library for PyTorchCode1
Learning to Manipulate Artistic ImagesCode1
FacialGAN: Style Transfer and Attribute Manipulation on Synthetic FacesCode1
Information Bottleneck Disentanglement for Identity SwappingCode1
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency LearningCode1
Generalized Consistency Trajectory Models for Image ManipulationCode1
Two-stream Encoder-Decoder Network for Localizing Image ForgeriesCode1
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space NavigationCode1
Entity-Level Text-Guided Image ManipulationCode1
LEDITS++: Limitless Image Editing using Text-to-Image ModelsCode1
Attribute-specific Control Units in StyleGAN for Fine-grained Image ManipulationCode1
Image Shape Manipulation from a Single Augmented Training SampleCode1
Content-Aware GAN CompressionCode1
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and LocalizationCode1
HyperInverter: Improving StyleGAN Inversion via HypernetworkCode1
Content Authentication for Neural Imaging Pipelines: End-to-end Optimization of Photo Provenance in Complex Distribution ChannelsCode1
Image Manipulation Detection by Multi-View Multi-Scale SupervisionCode1
Exploiting Deep Generative Prior for Versatile Image Restoration and ManipulationCode1
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image GenerationCode1
High Fidelity Visualization of What Your Self-Supervised Representation Knows AboutCode1
Fake face detection via adaptive manipulation traces extraction networkCode1
Cross-Domain and Disentangled Face Manipulation with 3D GuidanceCode1
High Resolution Face Age EditingCode1
Language-Guided Face Animation by Recurrent StyleGAN-based GeneratorCode1
Learning Accurate Dense Correspondences and When to Trust ThemCode1
Lifespan Age Transformation SynthesisCode1
PDC-Net+: Enhanced Probabilistic Dense Correspondence NetworkCode1
ManiGAN: Text-Guided Image ManipulationCode1
ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation DetectionCode1
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image ManipulationCode1
SinFusion: Training Diffusion Models on a Single Image or VideoCode1
D2C: Diffusion-Decoding Models for Few-Shot Conditional GenerationCode1
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network PerformanceCode1
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Benchmark Results

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