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 71–80 of 427 papers

TitleStatusHype
Exploiting Deep Generative Prior for Versatile Image Restoration and ManipulationCode1
Information Bottleneck Disentanglement for Identity SwappingCode1
LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion ModelCode1
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image EditingCode1
DAAD: Dynamic Analysis and Adaptive Discriminator for Fake News DetectionCode1
D2C: Diffusion-Denoising Models for Few-shot Conditional GenerationCode1
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image ManipulationCode1
Diffusion Cocktail: Mixing Domain-Specific Diffusion Models for Diversified Image GenerationsCode1
D2C: Diffusion-Decoding Models for Few-Shot Conditional GenerationCode1
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image ManipulationCode1
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Benchmark Results

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