If you're looking for a challenge, the Geometry Dash Demonlist is the place to be. It's a list of the most hardcore fan-created levels in all of Geometry Dash. There's a whole community dedicated to ...

Implementing a geometry shader in Unity is not easy as it seems because surface shaders don't allow geometry stage customization -- This means that you have to implement the whole lighting passes by ...

Geometry Dash offers players the chance to unlock in-game rewards through redeeming codes, which are available for The Vault, Chamber of Time, Vault of Secrets, and Wraith Vault. While the game allows ...

In contrast to the senior London Geometry and Topology Seminar and the MAGIC Seminar, the talks in this seminar are mostly of an expository nature and need not present original research. The target ...

Released MoGe-2, a state-of-the-art model for monocular geometry, with these new capabilities in one unified model: Note: MoGe should be compatible with most ...

The International Mathematical Olympiad (IMO) is a prestigious competition featuring talented high school students from around the world, in which competitors solve complicated mathematical problems.

This is a topics course in continuation of MAT4215 – Algebraic Geometry II. The content varies between different current fields of research and covers both advanced methods and topics. Examples of ...

Differential manifolds provide higher dimensional generalizations of surfaces. They appear in a very natural manner in many areas of mathematics and physics. On a differential manifold or more ...

Abstract: In this article, a full-car prototype of the recently proposed mechatronic suspension, series active variable geometry suspension (SAVGS), is developed for the on-road driving experimental ...

Ryan (last name unknown), better known online as 8-BitRyan, is a British content creator who's well known for his videos of Five Nights at Freddy's, and other horror games. Due to his popularity, Ryan ...

Abstract: Deep metric learning (DML) has achieved great results on visual understanding tasks by seamlessly integrating conventional metric learning with deep neural networks. Existing deep metric ...

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