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The code for paper 'Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors'

Jupyter Notebook · active 2025-06-022026-05-16 (UTC)

Complete coverage26,360 / 26,360 hourly files (100%) · 2 absent upstream2023-08-152026-08-17 (UTC)
Events
267
Pushes
20
Pull requests
0
Issues
56
Stars
112
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 349 days from 2025-06-02 to 2026-05-16. Pushes: 20 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 56 total, peak 6 in a day. Comments: 75 total, peak 5 in a day. Stars: 112 total, peak 5 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
zd110247220041
flyyyyer8006
Germany3218002
missTL7000
0x4e86006
Zhongan-Wang5003
Fusang-Wang4002
soul101014001
wpd-mlb3002
gaoxiangjun2001
hxiaoj2000
SuhZhang2001
npurson2001
Dlonly9042002
Chongyu-hub2001
NeutrinoLiu1000
ZestfulJX1000
Terry-Xu-6661000
ChengJade1000
PaulLiuYZ1000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#68CSPlayer06892026-04-25 15:58
    训练日志的记录的loss和grad_norm与使用的GPU数量有关,这是Bug吗?
  • Issue comment#65SuhZhang2026-04-24 03:37
    OOM when training on spatial reasoning with the default configuration
  • Issue comment#68npurson2026-03-11 11:32
    训练日志的记录的loss和grad_norm与使用的GPU数量有关,这是Bug吗?
  • Issue#65SuhZhang2026-02-17 03:40
    OOM when training on spatial reasoning with the default configuration
  • Issue comment#64zd110242026-02-09 10:01
    是否可以公布spar_234k的媒体数据
  • Issue comment#640x4e82026-02-09 09:29
    是否可以公布spar_234k的媒体数据
  • Issue comment#640x4e82026-02-09 08:09
    是否可以公布spar_234k的媒体数据
  • Issue comment#640x4e82026-02-09 07:53
    是否可以公布spar_234k的媒体数据
  • Issue comment#640x4e82026-02-09 05:29
    是否可以公布spar_234k的媒体数据
  • Issue#63ShiqiangLang2026-02-05 13:39
    Data construction problem
  • Issue#61ChengJade2025-12-30 14:58
    Performance reproduce
  • Issue#59npurson2025-12-30 10:54
    High grad_norm values during training and performance gap with my implementation
  • Issue comment#59Dlonly9042025-12-29 03:59
    High grad_norm values during training and performance gap with my implementation
  • Issue#56zd110242025-12-20 04:35
    About training speed
  • Issue comment#56zd110242025-12-20 04:35
    About training speed
  • Issue comment#57zd110242025-12-20 04:34
    Performance differences on visual grounding
  • Issue comment#56Chongyu-hub2025-12-19 02:35
    About training speed
  • Issue comment#56zd110242025-12-19 02:20
    About training speed
  • Issue#56Chongyu-hub2025-12-18 03:49
    About training speed
  • Issue comment#52zd110242025-11-20 07:49
    Media Data
  • Issue comment#520x4e82025-11-20 07:33
    Media Data
  • Issue comment#520x4e82025-11-20 06:19
    Media Data
  • Issue comment#49zd110242025-11-19 15:36
    About frame sampling strategies
  • Issue comment#15Dlonly9042025-11-18 09:28
    No matching distribution found for pytorch3d
  • Issue#53Germany3212025-11-15 04:29
    Training loss difference

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 112 stars here means stars gained during the window, not the repo's star count.