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 376–400 of 427 papers

TitleStatusHype
A Noise and Edge extraction-based dual-branch method for Shallowfake and Deepfake Localization—0
The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs—0
An Inpainting-Infused Pipeline for Attire and Background Replacement—0
The Misty Three Point Algorithm for Relative Pose—0
Towards Arbitrary Text-driven Image Manipulation via Space Alignment—0
Towards Controllable and Photorealistic Region-wise Image Manipulation—0
AnimeDL-2M: Million-Scale AI-Generated Anime Image Detection and Localization in Diffusion Era—0
Analysis of Adversarial Image Manipulations—0
Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods—0
Towards Explainable Partial-AIGC Image Quality Assessment—0
Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features—0
AIM 2024 Sparse Neural Rendering Challenge: Methods and Results—0
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results—0
Towards Performance Improvement in Indian Sign Language Recognition—0
3D-Fixup: Advancing Photo Editing with 3D Priors—0
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results—0
Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks—0
Towards Reliable Identification of Diffusion-based Image Manipulations—0
Towards the Detection of AI-Synthesized Human Face Images—0
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation—0
Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion—0
TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localization—0
Having your cake and eating it too: Scripted workflows for image manipulation—0
Training Free Guided Flow Matching with Optimal Control—0
Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices—0
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Benchmark Results

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