Case 02 · Photo to 3D

Three Views to a Real-Time 3D Object

A pass-gated reconstruction workflow for turning front, side, and back views into a textured real-time object.

Rendered purple, green, and coral basketball
167.08sbalanced pipeline wall time
60 FPSlocal runtime validation
48,864rendered triangles with shadow pass
5.99 MBvalidated GLB v2

Delivery Loop trail

Four gates connect the problem to public proof.

Each gate records the evidence that justified moving forward.

Understand

  • Three sparse reference views

Design

  • Alignment and projection contract

Deliver

  • Procedural sphere and PBR maps

Verify

  • Three-view QA and public GLB

01 · Operational problem

Can three product views become a credible real-time object?

Sparse views hide the poles, opposite side, true curvature, and material response. A convincing render is not enough unless those inferences remain visible.

02 · Product hypothesis

A bounded projection workflow could make uncertainty inspectable.

Align each view, project artwork onto a procedural sphere, build independent PBR channels, then review the same named views used as input.

03 · Technical path

Geometry, channels, and artwork were solved as separate layers.

A procedural sphere carries channel geometry and pebble relief while view-aligned textures produce albedo, roughness, normal, and ambient-occlusion maps.

Front reference view of the unbranded basketball
One of three rights-cleared public inputs.

04 · AI delivery

Exploration became a reusable reconstruction Skill.

The standardized run encoded alignment, map generation, GLB export, browser validation, and pass gates instead of repeating ad hoc instructions.

05 · Real constraints

The missing views had to remain declared inference.

The opposite lateral side is mirrored at reduced confidence; top and bottom are multi-view projected inference. The public package excludes all earlier branded experiments.

06 · Verification

The public model failed its own visual threshold—and says so.

Front 0.79, side 0.78, and back 0.80 remained below configured thresholds despite passing GLB and runtime validation.

Three-view reconstruction QA comparison
The visual review remains a disclosed non-pass.

07 · Reusable capability

Standardization cut repeat work and allowance use.

The exploratory run took about 34 minutes and about 3% of a US$100 allowance; the standardized comparison took 339.63 seconds and less than 1%. This is workflow evidence, not a controlled model benchmark.

08 · Limits and public boundary

Public proof uses only the unbranded TEST4 asset.

Private repositories, branded experiments, their textures and models, and private URLs remain excluded. The downloadable GLB is the validated public artifact.

Related work

See the method move across domains.

The technology changes; the discipline around constraints and evidence remains.

Reusable lesson

A failed visual gate can be more useful than an unqualified success claim.

It shows exactly where the workflow is reusable and where more evidence is still needed.

A similar operational constraint?

Have a workflow with similar constraints?

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