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Image Manipulation
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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.
논문
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Towards Reliable Identification of Diffusion-based Image Manipulations
UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation
Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features
RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs
My Face Is Mine, Not Yours: Facial Protection Against Diffusion Model Face Swapping
Visual Agentic Reinforcement Fine-Tuning
Emerging Properties in Unified Multimodal Pretraining
Anti-Inpainting: A Proactive Defense against Malicious Diffusion-based Inpainters under Unknown Conditions
ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
3D-Fixup: Advancing Photo Editing with 3D Priors
IntrinsicEdit: Precise generative image manipulation in intrinsic space
MDE-Edit: Masked Dual-Editing for Multi-Object Image Editing via Diffusion Models
Visual Text Processing: A Comprehensive Review and Unified Evaluation
Step1X-Edit: A Practical Framework for General Image Editing
Can GPT tell us why these images are synthesized? Empowering Multimodal Large Language Models for Forensics
AnimeDL-2M: Million-Scale AI-Generated Anime Image Detection and Localization in Diffusion Era
Towards Explainable Partial-AIGC Image Quality Assessment
Pro-DG: Procedural Diffusion Guidance for Architectural Facade Generation
Patronus: Bringing Transparency to Diffusion Models with Prototypes
Context-Aware Weakly Supervised Image Manipulation Localization with SAM Refinement
LEGION: Learning to Ground and Explain for Synthetic Image Detection
EmoAgent: A Multi-Agent Framework for Diverse Affective Image Manipulation
Deepfake Detection of Face Images based on a Convolutional Neural Network
Advancing 3D Gaussian Splatting Editing with Complementary and Consensus Information
PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning
LLM-guided Instance-level Image Manipulation with Diffusion U-Net Cross-Attention Maps
Joint Learning of Depth and Appearance for Portrait Image Animation
Data-Driven Fairness Generalization for Deepfake Detection
Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding Transformer
Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation Localization
Prompt Augmentation for Self-supervised Text-guided Image Manipulation
Instruction-based Image Manipulation by Watching How Things Move
Detecting Facial Image Manipulations with Multi-Layer CNN Models
EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM
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