SketchSense framework enhances image inpainting with imperfect sketch interpretation

Researchers have introduced SketchSense, a novel framework designed to improve image inpainting by better interpreting imperfect sketch guidance. Unlike previous methods that either rigidly adhere to or pre-clean sketches, SketchSense synchronously denoises interacting RGB and structure streams. This approach allows for a dynamic interpretation of sketches, where a refined structure emerges alongside appearance and semantic context. Experiments demonstrate significant improvements in both restoration quality and structural fidelity compared to existing techniques. AI

IMPACT This framework could lead to more intuitive and accurate image editing tools by improving how AI interprets user-provided sketches.

RANK_REASON The item is a research paper published on arXiv detailing a new technical framework for image inpainting. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• alphaXiv
• arXiv
• Bidirectional Attention Fusion
• CatalyzeX Code Finder for Papers
• Connected Papers
• CORE Recommender
• DagsHub
• Gotit.pub
• Hugging Face
• Influence Flower
• Litmaps
• ScienceCast
• scite Smart Citations
• Sketch-Aware Spatial Regulation
• SketchSense

• paper
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →