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  3. 混元3D模型水密化处理挑战赛
OpenAtomGeneral MLAdvancedRegistration unverified

混元3D模型水密化处理挑战赛

A advanced general ml competition requiring roughly 24–80 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
24–80 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

适合已有3D几何处理或3D生成背景的开发者,尤其是能处理三角网格中的孔洞、自交、非流形等问题,并能实现和评估网格重建算法的人。个人或团队均可参赛,页面说明面向全社会开放。

Read the original official blurb
当前大多数3D几何数据在表示上都存在孔洞、自交或非流形结构等缺陷(非水密)​,难以直接应用于需要严格封闭网格(Watertight Mesh)​​ 的流程,例如基于有符号距离场(SDF)​​ 的形状建模、编辑或物理仿真。现有的水密化方法往往会在修复过程中不可避免地改变模型的原始几何特征或拓扑结构,导致结果与设计意图出现偏差。​设计一种算法,能够在修复网格非水密缺陷的同时,最大程度地保持模型的原始几何结构和细节特征,是推动高质量3D内容生成与应用的关键技术挑战。本赛题旨在探索这一问题的创新解决方案。 Official category: 实战竞技赛. Organizers: 腾讯科技(深圳)有限公司. Competition code: 2025OAV007. Participants: 10.

Preparation

From registration to a first submission

  1. 01

    三角网格处理

  2. 02

    计算几何

  3. 03

    非流形与自交检测

  4. 04

    SDF(有符号距离场)

  5. 05

    GPU性能优化

  6. 06

    可复现实验环境配置

Before you commit: 难点不只是把网格补成封闭体,而是在修复非水密缺陷时尽量不改变原始几何与拓扑细节,同时兼顾计算速度和重建精度。作品还必须提交可复现的完整代码、运行环境和较完整的技术报告,获奖作品需按要求开源。

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
OpenAtom
Last checked
Jul 22, 2025

Entry assessment

est.
30

Prepare before joining

Overall fit estimate

Beginner fit30/100
Learning value60/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

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Source page verifiedMetric confirmedReviewed
Source published
Jul 22, 2025
Source created
Jul 22, 2025
Published on this site
Jul 21, 2026

Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.

reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.