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LiheYoung
Depth-Anything
Python2024–2024
LiheYoung / Depth-Anything

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

2Distinct people
2Mentions
0Explicit recommenders
8.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by day2 dated mentions

Observed mentions: 2024-01-22 17:08:37 UTC to 2024-02-16 05:47:34 UTC.

012024-01-22 00:00:00 UTC to 2024-01-23 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJan 222024-01-23 00:00:00 UTC to 2024-01-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-24 00:00:00 UTC to 2024-01-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-25 00:00:00 UTC to 2024-01-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-26 00:00:00 UTC to 2024-01-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-27 00:00:00 UTC to 2024-01-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-28 00:00:00 UTC to 2024-01-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-29 00:00:00 UTC to 2024-01-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-30 00:00:00 UTC to 2024-01-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-31 00:00:00 UTC to 2024-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-01 00:00:00 UTC to 2024-02-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-02 00:00:00 UTC to 2024-02-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-03 00:00:00 UTC to 2024-02-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsFeb 32024-02-04 00:00:00 UTC to 2024-02-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-05 00:00:00 UTC to 2024-02-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-06 00:00:00 UTC to 2024-02-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-07 00:00:00 UTC to 2024-02-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-08 00:00:00 UTC to 2024-02-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-09 00:00:00 UTC to 2024-02-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-10 00:00:00 UTC to 2024-02-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-11 00:00:00 UTC to 2024-02-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-12 00:00:00 UTC to 2024-02-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-13 00:00:00 UTC to 2024-02-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-14 00:00:00 UTC to 2024-02-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-15 00:00:00 UTC to 2024-02-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-16 00:00:00 UTC to 2024-02-17 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsFeb 16

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jan 222024-01-22 00:00:00 UTC2024-01-23 00:00:00 UTC110
Jan 232024-01-23 00:00:00 UTC2024-01-24 00:00:00 UTC000
Jan 242024-01-24 00:00:00 UTC2024-01-25 00:00:00 UTC000
Jan 252024-01-25 00:00:00 UTC2024-01-26 00:00:00 UTC000
Jan 262024-01-26 00:00:00 UTC2024-01-27 00:00:00 UTC000
Jan 272024-01-27 00:00:00 UTC2024-01-28 00:00:00 UTC000
Jan 282024-01-28 00:00:00 UTC2024-01-29 00:00:00 UTC000
Jan 292024-01-29 00:00:00 UTC2024-01-30 00:00:00 UTC000
Jan 302024-01-30 00:00:00 UTC2024-01-31 00:00:00 UTC000
Jan 312024-01-31 00:00:00 UTC2024-02-01 00:00:00 UTC000
Feb 12024-02-01 00:00:00 UTC2024-02-02 00:00:00 UTC000
Feb 22024-02-02 00:00:00 UTC2024-02-03 00:00:00 UTC000
Feb 32024-02-03 00:00:00 UTC2024-02-04 00:00:00 UTC000
Feb 42024-02-04 00:00:00 UTC2024-02-05 00:00:00 UTC000
Feb 52024-02-05 00:00:00 UTC2024-02-06 00:00:00 UTC000
Feb 62024-02-06 00:00:00 UTC2024-02-07 00:00:00 UTC000
Feb 72024-02-07 00:00:00 UTC2024-02-08 00:00:00 UTC000
Feb 82024-02-08 00:00:00 UTC2024-02-09 00:00:00 UTC000
Feb 92024-02-09 00:00:00 UTC2024-02-10 00:00:00 UTC000
Feb 102024-02-10 00:00:00 UTC2024-02-11 00:00:00 UTC000
Feb 112024-02-11 00:00:00 UTC2024-02-12 00:00:00 UTC000
Feb 122024-02-12 00:00:00 UTC2024-02-13 00:00:00 UTC000
Feb 132024-02-13 00:00:00 UTC2024-02-14 00:00:00 UTC000
Feb 142024-02-14 00:00:00 UTC2024-02-15 00:00:00 UTC000
Feb 152024-02-15 00:00:00 UTC2024-02-16 00:00:00 UTC000
Feb 162024-02-16 00:00:00 UTC2024-02-17 00:00:00 UTC101

What Hacker News says

2 sources
Depth estimation improved a lot as well e.g. with Depth-Anything [0]. But those are mostly relative depth instead of metric. Also when even converted to metric they still seems have a lot of pointclouds at the edges that have to be pruned - visible in this blog [1]. Looks like those models trained on Lidar or Stereo depthmaps that has this limitations. I think we don't have enough clean training data for 3d unless we maybe train on synthetic data (then we can have plenty, generate realistic scene in Unreal Engine 5 and train on rendered 2d frames) [0] https://github.com/LiheYoung/Depth-Anything [1] https://medium.com/@patriciogv/the-state-of-the-art-of-depth...
In Video generation models as world simulators

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