Shypd.aiThe largest open index of AI toolsAwesome-Diffusion-Model-Based-Image-Editing-Methods is an Open Source resource that provides a comprehensive survey and curated list of diffusion model-based image editing methods. It includes a benchmark, EditEval, for evaluating text-guided image editing algorithms.
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Awesome-Diffusion-Model-Based-Image-Editing-Methods is an open-source repository offering an exhaustive overview of existing methods using diffusion models for image editing. It covers both theoretical and practical aspects, categorizing works by learning strategies, user-input conditions, and specific editing tasks. The resource pays special attention to image inpainting and outpainting, analyzing traditional context-driven and current multimodal conditional methods. It also introduces EditEval, a systematic benchmark with an innovative LMM Score, to evaluate text-guided image editing algorithms. The repository actively tracks the latest research and welcomes contributions, serving as a valuable reference for researchers and developers in the field.
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