Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Check out this gel-like simulation from the Liquid Playground series, created by Dobromir Dyankov using JangaFX Software's LiquiGen, Cinema 4D, and Redshift. See more: Maxon #liquigen #c4d #redshift #simulation

30,346 Aufrufe • vor 1 Jahr •via X (Twitter)

3 Kommentare

Profilbild von Manu.YFGP
Manu.YFGPvor 1 Jahr

@inlifethrill_ @JangaFX @MaxonVFX The details @inlifethrill_ managed to add, the smoothness of the movement! Also, the sound effects (I did them) really brings life to it! Kudos!

Profilbild von Wallaby Team
Wallaby Teamvor 1 Jahr

🚀 Wallaby.js v2 is here! 🎉 ▪️New unified UX ▪️Works with ALL editors (NeoVim, Zed, Vim, etc.) ▪️Interactive test timeline ▪️and much more! Ready to take your testing to the next level? 💻🔍

Profilbild von White Raven Studios
White Raven Studiosvor 1 Jahr

@inlifethrill_ @JangaFX @MaxonVFX yam-yam

Ähnliche Videos

Everything you love about generative models — now powered by real physics! Announcing the Genesis project — after a 24-month large-scale research collaboration involving over 20 research labs — a generative physics engine able to generate 4D dynamical worlds powered by a physics simulation platform designed for general-purpose robotics and physical AI applications. Genesis's physics engine is developed in pure Python, while being 10-80x faster than existing GPU-accelerated stacks like Isaac Gym and MJX. It delivers a simulation speed ~430,000 faster than in real-time, and takes only 26 seconds to train a robotic locomotion policy transferrable to the real world on a single RTX4090 (see tutorial: The Genesis physics engine and simulation platform is fully open source at We'll gradually roll out access to our generative framework in the near future. Genesis implements a unified simulation framework all from scratch, integrating a wide spectrum of state-of-the-art physics solvers, allowing simulation of the whole physical world in a virtual realm with the highest realism. We aim to build a universal data engine that leverages an upper-level generative framework to autonomously create physical worlds, together with various modes of data, including environments, camera motions, robotic task proposals, reward functions, robot policies, character motions, fully interactive 3D scenes, open-world articulated assets, and more, aiming towards fully automated data generation for robotics, physical AI and other applications. Open Source Code: Project webpage: Documentation: 1/n

Zhou Xian

3,816,886 Aufrufe • vor 1 Jahr