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Text-to-3D Generation research benchmarks – Page 3 · SOTA2 Research

Text-to-3D Generation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Uni-Instruct (Reverse-KL)

7.543D-Aes Score

4

Feb 26, 2026

Uni-Instruct (Reverse-KL)

4.453D-Aes Score

4

Feb 26, 2026

Feed-forward 24 Prompts

0.19CLIP-D

3

Jun 29, 2026

Trellis-500K (test)

0.013CD_L2

3

May 29, 2026

GPTEval3D 60 prompts (evaluation)

TRELLIS + RewardCS

0.3CP Score

3

Mar 23, 2026

0.299CLIP Score

3

Mar 20, 2026

21.01PickScore (Overall)

3

Mar 17, 2026

66.94Text-Asset Alignment

3

Feb 26, 2026

0.566BLIP-VQA Score

3

Feb 26, 2026

DreamFusion Magic3D Fantasia3D 25-prompt 1.0 (test)

185.883D-FID

3

Feb 26, 2026

1000 text prompts (test)

20Time (min)

3

Feb 26, 2026

GaussianDreamer, LucidDreamer, and FlowDreamer Samples

50.5TA Score

2

May 21, 2026

80.97Geometric Consistency

2

Mar 4, 2026

User Study Text to 3D

Semantic Erasure and Horizontal Injection

58.6Detailed Objects Score

2

Feb 26, 2026

Cap3D 2K (test)

Controllable text-to-3D

31.6FID

2

Feb 26, 2026

80 Scene-Level text prompts

49.63BRISQUE

2

Feb 26, 2026

40 non-cherry-picked prompts (test)

CorrespondentDream

69.6User Preference

2

Feb 26, 2026

Shap-E and DreamFusion prompts (combined)

71.6Realistic Preference

2

Feb 26, 2026

70 prompts featuring countable faces

Debiased Score Distillation Sampling

68.3Success Rate

2

Feb 26, 2026

70 user prompts

Debiased Score Distillation Sampling

90.42View Consistency

2

Feb 26, 2026

100 prompts DreamFusion, Magic3D, Fantasia3D (val)

107.023D-FID

2

Feb 26, 2026

160 text prompts descriptions of people (test)

83.8R-Precision

2

Feb 26, 2026

T3Bench prompt_scene

18Quality Score

1

Mar 10, 2026

DreamFusion prompts (397)

58.3Preference (Realistic)

1

Feb 26, 2026

—

—Primary metric

0

Feb 26, 2026

Page 3 of 4

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GPTEval3D Toys4K T3Bench User Study DreamFusion

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