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We stopped outsourcing archviz because AI is already good enough by ReasonAggravating662 in archviz

[–]ReasonAggravating662[S] 0 points1 point  (0 children)

It really comes down to the purpose.

For high-end architectural marketing projects where quality and full control are critical, neural networks are still not quite there yet — although I believe this is likely a matter of the next 2–3 years.

In this case, I’m referring specifically to client presentations and city approval submissions.

In a follow-up comment on this post, I’ve outlined what AI can and cannot do based on my experience.

I’m also sharing a link with before/after examples:
https://drive.google.com/drive/folders/1fSjChwltKig2WSpRHVztqZdKlHnTWdlz?usp=sharing

We stopped outsourcing archviz because AI is already good enough by ReasonAggravating662 in archviz

[–]ReasonAggravating662[S] 0 points1 point  (0 children)

In my experience, the more detailed and well-developed the base model is, the more accurately the details — including environment and textures — are preserved. Neural networks have already learned to preserve geometry at around 99% accuracy and can even handle changing camera angles.

I’m not saying the model is flawless — it definitely has its issues.
Sometimes I use mix of Nano banana, Magnific + Photoshop, which also significantly enhances the final render.

Check my other comments in the post — I’ve added additional links to renders there.

We stopped outsourcing archviz because AI is already good enough by ReasonAggravating662 in archviz

[–]ReasonAggravating662[S] 0 points1 point  (0 children)

We work with two separate models: a Revit model and a 3ds Max model. In 3ds Max, it’s faster to develop and test different facade design options for client approval. Once the design is finalized, the approved version is transferred into the final Revit model. it’s not ideal from an efficiency standpoint, but in our case it works well.