Evaluation scores for text-to-3D models shift more with configuration changes than model changes

Audit of 19 alignment evaluators on fixed 3D scenes shows that camera and caption choices can change point-estimate winners for 18 evaluators.

Top University
Anson Y. Lam · Shuqing Li · Michael R. Lyu

The Chinese University of Hong Kong

Research Digest··2 min read
Lam et al.

The authors designed a fixed-artifact audit: they generated 300 scenes from six text-to-3D generators and froze them.

Why this paper

From The Chinese University of Hong Kong

In one line

Configuration variance exceeds generator variance for 17/19 alignment evaluators in fixed-scene text-to-3D evaluation.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ✓Limitations stated by the authors (2 noted)
  • ✓Reports numbers on named benchmarks (2 benchmarks)

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Research Digest

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