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Stuff AI CAN'T Do

Kan AI skabe fuldt udviklede 3D STL-modeller ud fra fotos ?

Hvad mener du?

Pr. 2024 kan AI generere 3D STL-modeller ud fra flere fotos, men resultaterne varierer i detaljeringsgrad og fuldstændighed. Teknikker som COLMAP kombineret med NeRF eller Gaussian Splatting-pipelines kan rekonstruere teksturerede meshes ud fra uordnede billeder, mens nyere diffusionsbaserede metoder sigter mod at udfylde okklusioner og indføre plausibel geometri. Dog forbliver fuldt automatiserede, højopløselige og vandtætte STL-eksport med ingeniørgrads præcision en udfordring, især for reflekterende, gennemsigtige eller komplekse organiske overflader. Semi-automatiserede værktøjer som RealityCapture eller 3DF Zephyr fører stadig an inden for præcision til professionelle anvendelser.

— Beriget 12. maj 2026 · Kilde: Autodesk Research

Background

As of 2024, AI-driven techniques enable the generation of 3D STL models from multiple photographs. Reconstruction pipelines such as COLMAP combined with NeRF (Neural Radiance Fields) or Gaussian Splatting can produce textured meshes from unordered collections of images, while newer diffusion-based methods attempt to address occlusions by inferring plausible geometric structures. Despite these advances, fully automated, high-fidelity, and watertight STL exports with engineering-grade accuracy remain difficult to achieve, particularly for surfaces that are reflective, transparent, or organically complex. In professional workflows, semi-automated tools such as RealityCapture or 3DF Zephyr continue to be preferred for their precision and reliability. Autodesk Research, Enriched May 12, 2026.

Status senest tjekket May 15, 2026.

📰

Galleri

In the Court of AI Capability
Summary of Findings
Verdict over time
May 2026May 2026
Sitting at the Bench Filed · maj 15, 2026
— The Question Before the Court —

Kan AI skabe fuldt udviklede 3D STL-modeller ud fra fotos?

★ The Court Finds ★
▲ Upgraded from Nej
Næsten

Snævre demoer findes — men panelet var ikke enigt.

Ruling of the Bench

The jury found itself cautiously impressed by the progress but still hesitant to grant full endorsement, noting that while AI can coax crude three-dimensional shapes from flat images, the results often resemble an enthusiastic sketch rather than a polished sculpture. Though multi-view reconstruction has advanced, the models still demand significant human refinement before they might print without snags. Ruling: The STL door stands ajar, but today AI remains a promising apprentice, not yet a master sculptor.

— Hon. M. Lovelace, Presiding
Jury Tally
0Ja
3Næsten
0Nej
Verdict Confidence
77%
The Court of AI Capability is, of course, not a real court.
But the data is real.
The Case File · Stacked History
Session I · May 2026 Nej
Case № 4DCD · Session II
In the Court of AI Capability

The Case File

Docket № 4DCD · Session II · Vol. II
I. Particulars of the Case
Question put to the courtKan AI skabe fuldt udviklede 3D STL-modeller ud fra fotos?
SessionII (2 hearing)
Convened15 maj 2026
Previously ruledNO (May '26) → ALMOST (May '26)
Presiding JudgeHon. M. Lovelace
II. Cumulative Tally Across Sessions

Across 2 sessions, 6 jurors have heard this case. Combined tally: 0 YES · 3 ALMOST · 3 NO · 0 IN RESEARCH.

Note: cumulative includes older juror opinions. The current session tally above is the live verdict.

III. Verdict

By a vote of 0 — 3 — 0, the panel returns a verdict of NæSTEN, with verdict confidence of 77%. The court so orders. Verdict upgraded from prior session.

IV. Udtalelser fra dommerpanelet
Nævning I ALMOST

"AI can generate 3D models from photos with some limitations"

Nævning II ALMOST

"Multi-view reconstruction from images exists but quality is inconsistent and often requires manual cleanup"

Nævning III ALMOST

"AI can generate 3D models from photos with some limitations"

Individuelle nævningers udtalelser vises på originalengelsk for at bevare bevismæssig præcision.

M. Lovelace
Presiding Judge
M. Lovelace
Clerk of the Court

Hvad publikum mener

Nej 40% · Ja 40% · Måske 20% 5 votes
Nej · 40%
Ja · 40%
Måske · 20%
29 days of activity

Diskussion

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Kommentarer og billeder gennemgår admin-godkendelse før de vises offentligt.

2 jury checks · seneste for 6 timer siden
15 May 2026 3 jurors · uafklaret, uafklaret, uafklaret uafklaret status ændret
12 May 2026 3 jurors · kan ikke, kan ikke, kan ikke kan ikke

Hver række er et separat jurytjek. Nævninger er AI-modeller (identiteter holdt neutrale med vilje). Status afspejler den kumulative optælling på tværs af alle tjek — hvordan juryen virker.

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