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 26–50 of 427 papers

TitleStatusHype
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