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 251–260 of 427 papers

TitleStatusHype
HyperInverter: Improving StyleGAN Inversion via HypernetworkCode1
D2C: Diffusion-Decoding Models for Few-Shot Conditional GenerationCode1
Sound-Guided Semantic Image ManipulationCode1
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches—0
EdiBERT, a generative model for image editingCode1
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language ModelCode1
Attribute-specific Control Units in StyleGAN for Fine-grained Image ManipulationCode1
Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?—0
Analysing Statistical methods for Automatic Detection of Image ForgeryCode1
Simple but Effective: CLIP Embeddings for Embodied AICode1
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Benchmark Results

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