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[CVPR 2023] Multi-frame depth estimation in dynamic scenes. -- Li, Rui, et al. "Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes".

active 2023-08-152025-08-27 (UTC)

Complete coverage26,576 / 26,576 hourly files (100%) · 2 absent upstream2023-08-152026-08-26 (UTC)
Events
112
Pushes
1
Pull requests
0
Issues
15
Stars
65
Forks
6

Activity over time

Daily event counts in the loaded window

Line chart, 744 days from 2023-08-15 to 2025-08-27. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 15 total, peak 4 in a day. Comments: 25 total, peak 6 in a day. Stars: 65 total, peak 4 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
ruili3220015
WangXuCh6002
fufj2001
kehuitt2001
7577871822002
chaoying01152002
xuhang20172002
huangtaokind1000
donggong11100
BinBCheng1000

Recent activity

Latest issues, pull requests and releases

  • Issue#17kehuitt2025-04-28 09:37
    Dataset DDAD eval
  • Issue comment#16ruili32025-01-20 14:22
    Visualization results
  • Issue comment#16kehuitt2025-01-20 08:55
    Visualization results
  • Issue comment#16ruili32025-01-20 08:38
    Visualization results
  • Issue comment#16xuhang20172024-12-30 12:24
    Visualization results
  • Issue comment#16ruili32024-12-30 12:21
    Visualization results
  • Issue comment#16xuhang20172024-12-30 12:15
    Visualization results
  • Issue comment#167577871822024-07-26 10:39
    Visualization results
  • Issue comment#16ruili32024-07-26 10:33
    Visualization results
  • Issue comment#167577871822024-07-26 09:54
    Visualization results
  • Issue comment#16fufj2024-05-30 01:13
    Visualization results
  • Issue#13ruili32024-05-29 15:31
    Arbitrary video
  • Issue comment#14ruili32024-05-29 15:30
    May I ask how you visualize point clouds and what toolkit are you using?
  • Issue#14ruili32024-05-29 15:30
    May I ask how you visualize point clouds and what toolkit are you using?
  • Issue comment#16ruili32024-05-29 15:28
    Visualization results
  • Issue#16fufj2024-05-28 07:53
    Visualization results
  • Issue#15WangXuCh2024-04-01 03:26
    About the parameter invd_depth_min_max
  • Issue comment#15WangXuCh2024-04-01 01:33
    About the parameter invd_depth_min_max
  • Issue#11ruili32024-03-29 13:33
    The problem of calculating dynamic regional indicators
  • Issue#8ruili32024-03-29 13:32
    About High resolution evaluation
  • Issue#6ruili32024-03-29 13:32
    Clarification of the results.json metrics
  • Issue#10ruili32024-03-29 13:32
    is file"data_depth_annotated" wrong in the sequence 03?
  • Issue comment#10ruili32024-03-29 13:31
    is file"data_depth_annotated" wrong in the sequence 03?
  • Issue comment#11ruili32024-03-29 13:31
    The problem of calculating dynamic regional indicators
  • Issue comment#12ruili32024-03-29 12:08
    I got diifferent results on the evaluate set.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 65 stars here means stars gained during the window, not the repo's star count.