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
Beyond Fully Supervised Pixel Annotations: Scribble-Driven Weakly-Supervised Framework for Image Manipulation Localization—0
Towards Reliable Identification of Diffusion-based Image Manipulations—0
UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and GenerationCode4
Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features—0
RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs—0
My Face Is Mine, Not Yours: Facial Protection Against Diffusion Model Face Swapping—0
Visual Agentic Reinforcement Fine-TuningCode7
Emerging Properties in Unified Multimodal PretrainingCode9
Anti-Inpainting: A Proactive Defense against Malicious Diffusion-based Inpainters under Unknown Conditions—0
ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and LocalizationCode2
3D-Fixup: Advancing Photo Editing with 3D Priors—0
IntrinsicEdit: Precise generative image manipulation in intrinsic space—0
MDE-Edit: Masked Dual-Editing for Multi-Object Image Editing via Diffusion Models—0
Visual Text Processing: A Comprehensive Review and Unified EvaluationCode2
Step1X-Edit: A Practical Framework for General Image EditingCode7
Can GPT tell us why these images are synthesized? Empowering Multimodal Large Language Models for Forensics—0
AnimeDL-2M: Million-Scale AI-Generated Anime Image Detection and Localization in Diffusion Era—0
Towards Explainable Partial-AIGC Image Quality Assessment—0
Pro-DG: Procedural Diffusion Guidance for Architectural Facade Generation—0
Patronus: Bringing Transparency to Diffusion Models with PrototypesCode0
Context-Aware Weakly Supervised Image Manipulation Localization with SAM Refinement—0
LEGION: Learning to Ground and Explain for Synthetic Image Detection—0
Advancing 3D Gaussian Splatting Editing with Complementary and Consensus Information—0
Deepfake Detection of Face Images based on a Convolutional Neural Network—0
EmoAgent: A Multi-Agent Framework for Diverse Affective Image Manipulation—0
PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models—0
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning—0
LLM-guided Instance-level Image Manipulation with Diffusion U-Net Cross-Attention MapsCode0
Joint Learning of Depth and Appearance for Portrait Image Animation—0
Data-Driven Fairness Generalization for Deepfake Detection—0
Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding TransformerCode2
Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation LocalizationCode2
Prompt Augmentation for Self-supervised Text-guided Image Manipulation—0
Instruction-based Image Manipulation by Watching How Things Move—0
Detecting Facial Image Manipulations with Multi-Layer CNN Models—0
EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM—0
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation—0
ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation DetectionCode1
Omni-IML: Towards Unified Image Manipulation Localization—0
HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and ManipulationCode2
Visual question answering based evaluation metrics for text-to-image generation—0
HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning—0
Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative FrameworkCode3
Training Free Guided Flow Matching with Optimal Control—0
SLIC: Secure Learned Image Codec through Compressed Domain Watermarking to Defend Image Manipulation—0
PUMA: Empowering Unified MLLM with Multi-granular Visual GenerationCode2
TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance ControlCode2
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image EditingCode1
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results—0
Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection—0
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Benchmark Results

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