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Cinema 4D simulates real movement processes that occur in nature based on forces and mass. Dynamics is designed primarily for creating complex, interactive movements such as the filling of vessels, collapsing of walls, billiard balls, etc. Objects affected by Dynamics can be organic, i.e., do not have to be hard.
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4D style transfer aims at transferring arbitrary visual style to the synthesized novel views of a dynamic 4D scene with varying viewpoints and times. Existing efforts on 3D style transfer can effectively combine the visual features of style images and neural radiance fields (NeRF) but fail to handle the 4D dynamic scenes limited by the static scene assumption. Consequently, we aim to handle ...
4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
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[2305.20082] Control4D: Efficient 4D Portrait Editing with Text - arXiv.org
In the first part of this tutorial, Nick will show you how to set up a dynamic rope simulation in Cinema 4D. Learn how to link rope dynamics to controllers so you can take full control of your dynamics. Then, watch part 2 of this tutorial where we show you how to finish this scene in Redshift AND Octane.
DreamGaussian4D: Generative 4D Gaussian Splatting
To achieve real-time dynamic scene rendering while also enjoying high training and storage efficiency, we propose 4D Gaussian Splatting (4D-GS) as a holistic representation for dynamic scenes rather than applying 3D-GS for each individual frame.
GitHub - HeliosZhao/Animate124: Animate124: Animating One Image to 4D ...
In this tutorial I'll show how to use the Place Tool and Dynamic Place Tools in Cinema 4D to quickly put your objects exactly where you want them. If you're populating your scene, or need to...
4D—Four-Dimensional Dynamic Images: Principle and Future Application
DreamGaussian4D reduces the optimization time from several hours to just a few minutes, allows flexible control of the generated 3D motion, and produces animated meshes that can be efficiently rendered in 3D engines. Convergence Speed. The dynamic optimization converges in 4.5 minutes. Image-to-4D. Diverse Motions.
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3 4D Invariant Representation Learning. 4DContrast presents a new approach to 3D representation learning: our key idea is to employ 4D constraints during pre-training, in order to imbue learned features with 4D invariance from learned objectness from seeing an object in motion.
Dynamics in Cinema 4d - A Cinema 4D Quick Start Lesson - YouTube
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