Turning 2D assets into 3D models, part 2

The second part of this article series focuses on the practical testing of tools for generating 3D models from 2D assets. The author continues experiments using Krea, Meshy, and Neural 4D neural networks to evaluate the quality and suitability of the results for development purposes. Since the previous post could not fully test the Krea 2 models, this material focuses on addressing that gap. The article demonstrates the process of transforming flat images into volumetric objects, analyzing the capabilities of modern AI tools for automating game asset creation. The author shares visualization results and assesses how effectively modern technologies handle the task of transferring 2D content into 3D space, which is a crucial step for optimizing workflows in game development.