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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
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection
Omni-IML: Towards Unified Image Manipulation Localization
HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and Manipulation
Visual question answering based evaluation metrics for text-to-image generation
HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning
Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework
Training Free Guided Flow Matching with Optimal Control
SLIC: Secure Learned Image Codec through Compressed Domain Watermarking to Defend Image Manipulation
PUMA: Empowering Unified MLLM with Multi-granular Visual Generation
TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training
Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models
Perturb, Attend, Detect and Localize (PADL): Robust Proactive Image Defense
Wavelet-Driven Generalizable Framework for Deepfake Face Forgery Detection
Enhanced Wavelet Scattering Network for image inpainting detection
AIM 2024 Sparse Neural Rendering Challenge: Methods and Results
Click2Mask: Local Editing with Dynamic Mask Generation
A Noise and Edge extraction-based dual-branch method for Shallowfake and Deepfake Localization
FastForensics: Efficient Two-Stream Design for Real-Time Image Manipulation Detection
Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis
Localization of Synthetic Manipulations in Western Blot Images
Task-Oriented Diffusion Inversion for High-Fidelity Text-based Editing
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results
DAAD: Dynamic Analysis and Adaptive Discriminator for Fake News Detection
Harmfully Manipulated Images Matter in Multimodal Misinformation Detection
TGIF: Text-Guided Inpainting Forgery Dataset
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis
DLOVE: A new Security Evaluation Tool for Deep Learning Based Watermarking Techniques
M^3:Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Mask
Recompression Based JPEG Tamper Detection and Localization Using Deep Neural Network Eliminating Compression Factor Dependency
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
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