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 1–50 of 427 papers

TitleStatusHype
Emerging Properties in Unified Multimodal PretrainingCode9
Visual Agentic Reinforcement Fine-TuningCode7
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image ManifoldCode7
Step1X-Edit: A Practical Framework for General Image EditingCode7
Versatile Diffusion: Text, Images and Variations All in One Diffusion ModelCode6
Detectron2 Object Detection & Manipulating Images using CartoonizationCode4
SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image EditingCode4
Guiding Instruction-based Image Editing via Multimodal Large Language ModelsCode4
UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and GenerationCode4
Differentiable Data Augmentation with KorniaCode3
ReNoise: Real Image Inversion Through Iterative NoisingCode3
MaskGIT: Masked Generative Image TransformerCode3
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and LocalizationCode3
Pivotal Tuning for Latent-based Editing of Real ImagesCode3
Inversion-Free Image Editing with Language-Guided Diffusion ModelsCode3
Paint by Example: Exemplar-based Image Editing with Diffusion ModelsCode3
IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & LocalizationCode3
Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative FrameworkCode3
Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel MethodsCode3
Deep PCB To COCO ConvertorCode2
Visual Text Processing: A Comprehensive Review and Unified EvaluationCode2
ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and LocalizationCode2
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image ManipulationCode2
StyleCLIP: Text-Driven Manipulation of StyleGAN ImageryCode2
DeltaEdit: Exploring Text-free Training for Text-Driven Image ManipulationCode2
StyleGAN2 Distillation for Feed-forward Image ManipulationCode2
PUMA: Empowering Unified MLLM with Multi-granular Visual GenerationCode2
Open-World Entity SegmentationCode2
Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation LocalizationCode2
TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance ControlCode2
Inversion-Free Image Editing with Natural LanguageCode2
Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding TransformerCode2
IML-ViT: Benchmarking Image Manipulation Localization by Vision TransformerCode2
Closed-Form Factorization of Latent Semantics in GANsCode2
Diffusion Models already have a Semantic Latent SpaceCode2
ClickDiffusion: Harnessing LLMs for Interactive Precise Image EditingCode2
Interpreting the Latent Space of GANs for Semantic Face EditingCode2
GAN Inversion: A SurveyCode2
HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and ManipulationCode2
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and LocalizationCode1
A Disentangling Invertible Interpretation Network for Explaining Latent RepresentationsCode1
FacialGAN: Style Transfer and Attribute Manipulation on Synthetic FacesCode1
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and ResultsCode1
A Style-aware Discriminator for Controllable Image TranslationCode1
Exploiting Deep Generative Prior for Versatile Image Restoration and ManipulationCode1
Fake face detection via adaptive manipulation traces extraction networkCode1
EdiBERT, a generative model for image editingCode1
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space NavigationCode1
Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?Code1
Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative ModelsCode1
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Benchmark Results

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