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The official implementation for the paper “Quadratic Gaussian Splatting for Efficient and Detailed Surface Reconstruction.”

active 2024-10-232026-03-19 (UTC)

Complete coverage26,534 / 26,534 hourly files (100%) · 2 absent upstream2023-08-152026-08-24 (UTC)
Events
251
Pushes
83
Pull requests
2
Issues
14
Stars
123
Forks
6

Activity over time

Daily event counts in the loaded window

Line chart, 513 days from 2024-10-23 to 2026-03-19. Pushes: 83 total, peak 30 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 14 total, peak 2 in a day. Comments: 19 total, peak 8 in a day. Stars: 123 total, peak 22 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
QuadraticGS978318
DailyInsistence11008
kke194002
WncFht1010
alanvinx1000
will-zzy1001
yangzuhao20201000
shuqi-Deng1000
superhero1771000

Recent activity

Latest issues, pull requests and releases

  • Issue#7QuadraticGS2025-07-30 02:14
    Incompatibility Between Python 3.9.19 and NumPy 2.0.2 in environment.yml
  • Issue comment#7will-zzy2025-07-30 02:12
    Incompatibility Between Python 3.9.19 and NumPy 2.0.2 in environment.yml
  • Issue#10yangzuhao20202025-07-26 12:57
    在训练后期出现 nan 等情况。
  • Issue#9shuqi-Deng2025-07-25 14:19
    Input DataFold Structure
  • Issue#8alanvinx2025-02-11 15:19
    Error: identifier "copysign<int, double, (int)0> " is undefined in device code
  • Issue#6QuadraticGS2025-01-16 02:32
    unbound scene
  • Issue comment#6DailyInsistence2025-01-15 05:32
    unbound scene
  • Issue comment#6QuadraticGS2025-01-14 06:48
    unbound scene
  • Issue#6DailyInsistence2025-01-14 03:11
    unbound scene
  • Issue#2QuadraticGS2025-01-09 08:59
    CUDA out of memory
  • Issue#5QuadraticGS2025-01-07 05:43
    render
  • Issue comment#5DailyInsistence2025-01-07 04:57
    render
  • Pull request#3QuadraticGS2025-01-07 02:36
  • Issue comment#3QuadraticGS2025-01-07 02:36
    fix: correct typo in variable name
  • Issue comment#5QuadraticGS2025-01-07 02:34
    render
  • Issue comment#5DailyInsistence2025-01-06 13:04
    ![image](https://github.com/user-attachments/assets/04c61672-bf20-4863-a988-66c0bf8aae79) Why do I encounter the above error when I try to use render.py for rendering? I look forward to your response.
  • Issue#5DailyInsistence2025-01-06 13:03
    ![image](https://github.com/user-attachments/assets/04c61672-bf20-4863-a988-66c0bf8aae79) Why do I encounter the above error when I try to use render.py for rendering? I look forward to your response.
  • Issue#4QuadraticGS2025-01-06 08:26
    Which parameters need to be modified for training a custom dataset?
  • Issue comment#4DailyInsistence2025-01-06 07:43
    Which parameters need to be modified for training a custom dataset?
  • Issue comment#4QuadraticGS2025-01-06 07:28
    Which parameters need to be modified for training a custom dataset?
  • Issue comment#4DailyInsistence2025-01-06 07:01
    Which parameters need to be modified for training a custom dataset?
  • Issue comment#4QuadraticGS2025-01-06 06:50
    Which parameters need to be modified for training a custom dataset?
  • Issue comment#4DailyInsistence2025-01-06 06:09
    Which parameters need to be modified for training a custom dataset?
  • Issue comment#4DailyInsistence2025-01-06 05:46
    Which parameters need to be modified for training a custom dataset?
  • Issue comment#4DailyInsistence2025-01-06 05:28
    Which parameters need to be modified for training a custom dataset?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 123 stars here means stars gained during the window, not the repo's star count.