The MAG-Edit method enables localized image editing in complex scenarios. This training-free, inference-stage optimization method optimizes the noise latent feature in diffusion models by maximizing two mask-based cross-attention constraints of…
Continue readingThis article presents a new image inversion architecture that extracts high-rate latent features for image editing with StyleGAN models. The authors discuss the challenges of image editing with pretrained GAN…
Continue readingThe article presents a unified probabilistic formulation for diffusion-based image editing. It demonstrates that Stochastic Differential Equations (SDEs) offer significant improvements over Ordinary Differential Equations (ODEs) in various image editing…
Continue readingThe article introduces MAGICBRUSH, a large-scale, manually annotated dataset for instruction-guided real image editing. The dataset was developed to address the limitations of existing methods for text-guided image editing, which…
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