Depth Anything V2

Tsinghua/HK University · 2024 · Vision/CV · China

A to Z

A · App: No
B · Built By: Tsinghua/HK University
C · CEO & Politics: [UNKNOWN]
D · Date: 2024
E · Expertise: Intermediate+
F · Free Tier: Yes
G · Generates: Text only
H · Deployment: Cloud + Local (open weights)
I · Inputs: Text
J · Jurisdiction: China
K · Key Staffers: Lihe Yang (Lead author), Bingyi Kang (Project lead), Hengshuang Zhao (Corresponding author)
L · Languages: Chinese-primary
M · Model Type: Vision/CV
N · Safety Issues: None reported
O · Open Source: Yes — open weights
P · Pricing: Free (open weights; Small Apache 2.0, Base/Large/Giant CC BY-NC 4.0)
Q · AIDb Rating: [UNKNOWN]
R · What Makes It Special: Depth Anything V2, a monocular depth estimation model that its authors say is much better than V1 in fine detail and robustness, and faster, smaller and more accurate than Stable Diffusion-based depth models; released in Small (24.8M parameters), Base (97.5M) and Large (335.3M) versions plus metric-depth models, with a 1.3B Giant listed as coming soon.
S · Stock / Status: University
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 Vision/CV from Tsinghua/HK University, released 2024.

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

“Depth Anything V2.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/depth-anything-v2.html