Dirty goat is coming

Applying grunge to renders in a convincing way has traditionally been time-consuming, often requiring the painstaking task of painting custom maps by hand. While procedural methods combining ambient occlusion with noise patterns can achieve decent results, the fine-tuning process can be just as time-intensive. That's where Dirty Goat comes in – it's a tool I'm developing that employs AI to intelligently deposit dirt and grime into nooks and crannies, mimicking natural wear and tear.

Dirty goat image compare. Clean on left, dirty on right (probably too dirty)

A key feature of Dirty Goat is its support for full animation, allowing the "baked" grunge data to integrate smoothly into a scene, with user-friendly controls. The prototype, based on the Automatic 1111 AI framework and bridged with MaxScript for cohesion, is already showing promising results. I'm currently working on enhancing its functionality and conducting further tests. If progress continues positively, I plan to announce and showcase Dirty Goat on LinkedIn soon.

As I'm new to posting on LinkedIn and building a social media presence often takes time, I would greatly appreciate early support. If you're interested in seeing Dirty Goat in action and staying updated on its development, please consider following me now. And if you find it as exciting as I do, share it with your friends – your support could make a significant impact!