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Text-based Image Editing

Nose should be sharped and lips should be less fat

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Showing 26–45 of 45 papers

TitleStatusHype
Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of CodeCode2
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image EditingCode1
Controlling Geometric Abstraction and Texture for Artistic ImagesCode1
Differential Diffusion: Giving Each Pixel Its StrengthCode2
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual ImagesCode1
Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models—0
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and EditingCode2
Delta Denoising Score—0
StyleDiffusion: Prompt-Embedding Inversion for Text-Based EditingCode1
SVDiff: Compact Parameter Space for Diffusion Fine-TuningCode2
HIVE: Harnessing Human Feedback for Instructional Visual EditingCode1
Erasing Concepts from Diffusion ModelsCode1
Zero-shot Image-to-Image TranslationCode3
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image TranslationCode2
EDICT: Exact Diffusion Inversion via Coupled TransformationsCode2
InstructPix2Pix: Learning to Follow Image Editing InstructionsCode5
Null-text Inversion for Editing Real Images using Guided Diffusion ModelsCode4
Versatile Diffusion: Text, Images and Variations All in One Diffusion ModelCode6
ManiCLIP: Multi-Attribute Face Manipulation from TextCode1
Prompt-to-Prompt Image Editing with Cross Attention ControlCode4
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