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 26–50 of 427 papers

TitleStatusHype
TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance ControlCode2
PUMA: Empowering Unified MLLM with Multi-granular Visual GenerationCode2
Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation LocalizationCode2
Open-World Entity SegmentationCode2
Closed-Form Factorization of Latent Semantics in GANsCode2
IML-ViT: Benchmarking Image Manipulation Localization by Vision TransformerCode2
Inversion-Free Image Editing with Natural LanguageCode2
GAN Inversion: A SurveyCode2
DeltaEdit: Exploring Text-free Training for Text-Driven Image ManipulationCode2
HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and ManipulationCode2
ClickDiffusion: Harnessing LLMs for Interactive Precise Image EditingCode2
Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding TransformerCode2
Interpreting the Latent Space of GANs for Semantic Face EditingCode2
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image 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
Fake face detection via adaptive manipulation traces extraction networkCode1
Diffusion Cocktail: Mixing Domain-Specific Diffusion Models for Diversified Image GenerationsCode1
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image ManipulationCode1
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image EditingCode1
Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?Code1
Dense Interspecies Face EmbeddingCode1
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Benchmark Results

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