AI-judge board ANIMALS
One or more photos reconstructed into a 3D mesh.
These ranks come from a VLM judge, not human votes. A vision-language model (Sonnet 4.6, multi-view) casts the ballots on this board — no person voted on them. It is a separate, automated surface: its scores are never mixed into the human leaderboard, and the two can disagree. For the ranking humans voted for, see the human-vote Image→3D reconstruction board →
Image→3D reconstruction
Scores are only comparable within a paradigm.| Rank (UB) | Generator | BT score | Votes |
|---|---|---|---|
| 1 | Meshy 6 | 1223.5 | 12 |
| 2 | Hunyuan3D v3 | 1186.3 | 16 |
| 3 | Rodin/Hyper3D | 1096.0 | 16 |
| 4 | TRELLIS via Replicate | 1042.7 | 8 |
| 5 | SAM 3D | 1017.4 | 8 |
| 6 | TRELLIS via fal | 1006.2 | 16 |
| 7 | Hunyuan3D 3.1 | 1000.6 | 14 |
| 8 | Hunyuan3D v2 | 860.8 | 16 |
| 9 | Pixal3D | 814.6 | 12 |
| 10 | TRELLIS 2 | 773.7 | 6 |
BT = Bradley–Terry score over VLM-judge ballots (multi-view condition), fitted within a single method — scores from different methods come from disconnected match pools and aren't comparable. Votes = judge ballots, not human votes.