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...
hrishikesh332.hashnode.dev5 min read
for IT the
IEEE-aligned project ideas
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.