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 171–180 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
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
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Benchmark Results

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