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 331–340 of 427 papers

TitleStatusHype
Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection—0
CoIE: Chain-of-Instruct Editing for Multi-Attribute Face Manipulation—0
Visual question answering based evaluation metrics for text-to-image generation—0
Closed-Loop Unsupervised Representation Disentanglement with β-VAE Distillation and Diffusion Probabilistic Feedback—0
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Face Manipulation—0
CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data—0
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds—0
Can GPT tell us why these images are synthesized? Empowering Multimodal Large Language Models for Forensics—0
Bridging CLIP and StyleGAN through Latent Alignment for Image Editing—0
SISL:Self-Supervised Image Signature Learning for Splicing Detection and Localization—0
Show:102550
← PrevPage 34 of 43Next →

Benchmark Results

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