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 191–200 of 427 papers

TitleStatusHype
SinFusion: Training Diffusion Models on a Single Image or VideoCode1
Auto-Focus Contrastive Learning for Image Manipulation Detection—0
Versatile Diffusion: Text, Images and Variations All in One Diffusion ModelCode6
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation—0
MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task Image Manipulation Detection and Localization—0
VIINTER: View Interpolation with Implicit Neural Representations of Images—0
Quantum Natural Language Generation on Near-Term DevicesCode1
Decontamination of the scientific literature—0
LS-GAN: Iterative Language-based Image Manipulation via Long and Short Term Consistency ReasoningCode0
Diffusion Models already have a Semantic Latent SpaceCode2
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Benchmark Results

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