Chapter 4 - Hands-on Image Inpainting with Segmentation Application
Overview In computer vision and image processing, image inpainting is a complex approach that replaces damaged image components. It preserves visual coherence and realism while filling in spaces or getting rid of unnecessary elements. Applications fo...
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Excellent walkthrough of image inpainting with segmentation. One aspect I found particularly interesting is how segmentation masks significantly influence the quality of the inpainted regions, especially for complex scenes where object boundaries matter.
I recently explored the broader evolution of image inpainting techniques—from traditional PDE-based methods and exemplar-based approaches to LaMa, MAT, and diffusion-based models. It's fascinating to see how segmentation is becoming increasingly important in modern inpainting pipelines.
Looking forward to the next chapters and more hands-on experiments.