Improving diffusion-based image editing via concept scaling and dense supervision
inclusionAI · hf · 2026-08-25
This research proposes a hierarchical taxonomy and dense supervision strategy to improve diffusion-based image editing. By utilizing fine-grained concepts, large-scale paired data, and granular evaluation, the method significantly enhances editing performance, achieving more precise control and higher quality results.
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