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T³Bench

Introduced by Yuze He et al. in T³Bench: Benchmarking Current Progress in Text-to-3D Generation4 Oct 2023 archive 2025-07-28

T³Bench is the first comprehensive text-to-3D benchmark containing diverse text prompts of three increasing complexity levels that are specially designed for 3D generation (300 prompts in total). To assess both the subjective quality and the text alignment, we propose two automatic metrics based on multi-view images produced by the 3D contents. The quality metric combines multi-view text-image scores and regional convolution to detect quality and view inconsistency. The alignment metric uses multi-view captioning and Large Language Model (LLM) evaluation to measure text-3D consistency.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Text to 3D T³Bench ProlificDreamer Avg 43.3 0/1 Deep Neural Networks via Block Coordinate Descent — 6 Compare

Papers archive 2025-07-28

6 shown of 6 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 8. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation 3 1 24 Mar 2023 ran 7 of 18 samples (11 unverified)
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation 1 1 1 Dec 2022 ran 3 of 3 samples (0 unverified; 3 pointer-only for licence)
Magic3D: High-Resolution Text-to-3D Content Creation 1 1 18 Nov 2022 not harvested
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures 2 1 14 Nov 2022 ran 2 of 4 samples (2 unverified)
DreamFusion: Text-to-3D using 2D Diffusion 4 1 29 Sep 2022 ran 10 of 11 samples (1 unverified)
0/1 Deep Neural Networks via Block Coordinate Descent 0 1 19 Jun 2022 not harvested

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • T³Bench

1 variant name, as the archive lists them.

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