OctopusEffects, #Blender Instructions for modeling a female robot using basic commands in Blender 3.3 Timestamp 00:00​ Introduction 00:13 Pelvic region 00:57 Legs 03:22 Upper Body 05:06 Head 06:23 ...

Use Geometry Nodes to create particles, use node shader to partially cover the object and Use Modifier to create chaos of particles. Requires Blender version 2.9 or later Subscribe! subscribe subscrib ...

Abstract: Curve approximation is a challenging issue to precisely depict exquisite shapes of natural phenomena, in which the piecewise Bézier curve is one of the most widely utilized tools due to its ...

Abstract: Point Cloud Quality Assessment (PCQA) plays an essential role in optimizing point cloud acquisition, encoding, transmission, and rendering for human-centric visual media applications. In ...

"Seriously," remarked Tarence Ray of the "Trillbillies" podcast in a post on X, "how is this guy supposed to get a fair trial at this point[?]" "Prison industrial complex meets fast fashion industrial ...

On Tuesday, Tencent released HunyuanWorld-Voyager, a new open-weights AI model that generates 3D-consistent video sequences from a single image, allowing users to pilot a camera path to "explore" ...

The company has since taken down the image of the accused killer. Fast fashion giant Shein is conducting an investigation of its internal processes after using the likeness of Luigi Mangione to model ...

Have you ever imagined turning your ideas into physical objects with just a few clicks? Thanks to tools like Tinkercad, what once seemed like science fiction is now an accessible reality for anyone ...

In 3D modeling, designers often use an existing 3D model as a reference to create new ones. This practice has inspired the development of Phidias, a novel generative model that uses diffusion for ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...