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 31–40 of 427 papers

TitleStatusHype
HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and ManipulationCode2
Interpreting the Latent Space of GANs for Semantic Face EditingCode2
Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding TransformerCode2
Diffusion Models already have a Semantic Latent SpaceCode2
Closed-Form Factorization of Latent Semantics in GANsCode2
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image ManipulationCode2
ClickDiffusion: Harnessing LLMs for Interactive Precise Image EditingCode2
GAN Inversion: A SurveyCode2
PUMA: Empowering Unified MLLM with Multi-granular Visual GenerationCode2
A Disentangling Invertible Interpretation Network for Explaining Latent RepresentationsCode1
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Benchmark Results

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