Will inference-time scaling improve the generation of images with correct geometric shapes? (in generative AI)

Ṁ100Ṁ75

2027

73%

chance

ALL

Resolves as YES if there is strong evidence that inference-time scaling methods significantly improve the generation of images with correct geometric shapes before January 1st 2027.

This must have been demonstrated in a leading/frontier text-to-image model, and clearly indicated by the developers/researchers (e.g. in a blog post, podcast or research paper).

Market context

Artificial Intelligence

Generative AI

AI Image Generation

Inference-Time Scaling

Geometry

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I think this question resolves YES with the latest gpt-image-2 model's image reasoning stack

@mods this question resolves YES

@0xseraphim I also did a test with ChatGPT (free tier):

I'm interested in verifying that inference-time scaling improve the generation of images with correct geometric shapes. Your image generation tools are approximately state of the art, so I would like to come up with a sort of stress test image that would prove that geometric correctness has been achieved. I think we can either workshop a test image prompt or you can just come up with the prompt and generate the image yourself if you feel confident. This should really test the boundary of geometric understanding while also being visually simple enough to verify (eg no wildly complex curves that are technically correct but hard to verify against intent).

I didn't measure anything but the square looks a little squished horizontally, the dashed lines don't meet the corners at C and D exactly, the large circle isn't tangent at R, and the hexagon appears to be mis-specified.

To try and give it another shot I workshopped another prompt:

Draw a square. Inscribe a circle tangent to all four sides. Place a regular octagon on the circle. Draw both diagonals. Mark all intersections.

And that one failed pretty bad.

So: I think we can agree that inference-time scaling methods have been employed for image models like the one ChatGPT uses. The question now is if this has succeeded to "significantly improve the generation of images with correct geometric shapes." My take would be that it has improved compared to a 2025-01-01 baseline, but not dramatically so. Without new evidence I would recommend to leave this open until the end date and see if any new developments occur.