Wonder3D

Community · 2023 · 3D Generation · Open-source/community

A to Z

A · App: No
B · Built By: Community
C · CEO & Politics: [UNKNOWN]
D · Date: 2023
E · Expertise: Intermediate+
F · Free Tier: Yes
G · Generates: Text only
H · Deployment: Cloud + Local (open weights)
I · Inputs: Text
J · Jurisdiction: Open-source/community
K · Key Staffers: Xiaoxiao Long (Co-lead author), Yuan-Chen Guo (Co-lead author), Cheng Lin (Corresponding author), Wenping Wang (Corresponding author)
L · Languages: English-primary
M · Model Type: 3D Generation
N · Safety Issues: None reported
O · Open Source: Yes — open weights
P · Pricing: Free (code MIT; weights AGPL-3.0)
Q · AIDb Rating: [UNKNOWN]
R · What Makes It Special: Wonder3D (CVPR 2024 Highlight), which reconstructs highly detailed textured meshes from a single image in 2 to 3 minutes: a cross-domain diffusion model generates consistent multi-view normal maps and color images, then a normal fusion method reconstructs the mesh; its authors have since released Wonder3D++.
S · Stock / Status: Research / open-source project
T · Training Cutoff: [UNKNOWN]
U · Users: [UNKNOWN]
V · Voice Chat: No
W · Weights: Downloadable
X · X Handle: [UNKNOWN]
Y · Year Founded: [UNKNOWN]
Z · Bottom Line: Open-weights 3D Generation from Community, released 2023.

Data completeness 77% · Last verified 2026-05-12 · Primary source ↗

“Wonder3D.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/wonder3d.html