text-guided-image-editing
23 papers with code • 0 benchmarks • 0 datasets
Editing images using text prompts.
Benchmarks
These leaderboards are used to track progress in text-guided-image-editing
Most implemented papers
Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image Editing
A commonly adopted strategy for editing real images involves inverting the diffusion process to obtain a noisy representation of the original image, which is then denoised to achieve the desired edits.
LocInv: Localization-aware Inversion for Text-Guided Image Editing
Large-scale Text-to-Image (T2I) diffusion models demonstrate significant generation capabilities based on textual prompts.
Invisible Backdoor Attacks on Diffusion Models
In recent years, diffusion models have achieved remarkable success in the realm of high-quality image generation, garnering increased attention.