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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 427 papers

TitleStatusHype
Emerging Properties in Unified Multimodal PretrainingCode9
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image ManifoldCode7
Visual Agentic Reinforcement Fine-TuningCode7
Step1X-Edit: A Practical Framework for General Image EditingCode7
Versatile Diffusion: Text, Images and Variations All in One Diffusion ModelCode6
Guiding Instruction-based Image Editing via Multimodal Large Language ModelsCode4
Detectron2 Object Detection & Manipulating Images using CartoonizationCode4
SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image EditingCode4
UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and GenerationCode4
MaskGIT: Masked Generative Image TransformerCode3
Inversion-Free Image Editing with Language-Guided Diffusion ModelsCode3
IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & LocalizationCode3
Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel MethodsCode3
Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative FrameworkCode3
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and LocalizationCode3
Differentiable Data Augmentation with KorniaCode3
Pivotal Tuning for Latent-based Editing of Real ImagesCode3
ReNoise: Real Image Inversion Through Iterative NoisingCode3
Paint by Example: Exemplar-based Image Editing with Diffusion ModelsCode3
Inversion-Free Image Editing with Natural LanguageCode2
Interpreting the Latent Space of GANs for Semantic Face EditingCode2
ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and LocalizationCode2
IML-ViT: Benchmarking Image Manipulation Localization by Vision TransformerCode2
Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation LocalizationCode2
Closed-Form Factorization of Latent Semantics in GANsCode2
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Benchmark Results

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