Udemy - Intermediate Three.js - Point Clouds, Shaders, Optimization

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size452.3 MB
  • Uploaded Byfreecoursewb
  • Downloads18
  • Last checkedJul. 25th '26
  • Date uploadedJul. 25th '26
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Infohash : B836509F0E8DC7201093B55F5C622FC8619E7583

Intermediate Three.js: Point Clouds, Shaders, Optimization

https://WebToolTip.com

Published 7/2026
Created by M Sakai
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 26 Lectures ( 1h 42m ) | Size: 452.4 MB

Beyond basics! Master practical Three.js on StackBlitz: point clouds, shaders, optimization & real-time 3D dashboards.

What you'll learn
⚡ Build robust, maintainable, and error-resistant production-level Three.js project structures using Vite and TypeScript.
⚡ Optimize performance to render tens of thousands of objects using InstancedMesh, BufferGeometry, and draw call reduction.
⚡ Implement 3D data viewers that load point cloud/sensor data (e.g., CSV) and visualize them as heatmaps using custom shaders.
⚡ Implement advanced rendering and complex visuals beyond standard features by writing GLSL (vertex/fragment) with ShaderMaterial.
⚡ Elevate the visual quality of 3D scenes to the next level by applying post-processing effects such as Bloom.
⚡ Build real-time 3D dashboards that instantly reflect external data changes by integrating WebSocket communication with Three.js.

Requirements
❗ Basic knowledge of JavaScript and TypeScript syntax.
❗ Basic knowledge of Three.js (understanding the concepts of Scene, Camera, Renderer, Geometry, and Material, and the ability to render simple graphics).

Files:

[ WebToolTip.com ] Udemy - Intermediate Three.js - Point Clouds, Shaders, Optimization
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1. Course Introduction.mp4 (38.9 MB)
    • 2. How the Course Works.mp4 (21.6 MB)
    2 - Part 1 Production-Ready Project Structure
    • 3. [Lecture] Project setup, avoiding pitfalls with types, & Pub Sub state patterns.mp4 (41.2 MB)
    • 4. [Exercise] Refactoring spinning box code to a production-ready structure.html (5.6 KB)
    • 5. [Review] Model solution, common errors, and challenge tasks.mp4 (23.4 MB)
    3 - Part 2 Performance Optimization
    • 6. [Lecture] Render costs, InstancedMesh, & Chrome DevTools stats.js profiling.mp4 (34.5 MB)
    • 7. [Exercise] Improve FPS of 10,000 particles using InstancedMesh.html (5.6 KB)
    • 8. [Review] Model solution, common errors, and challenge tasks.mp4 (24.0 MB)
    4 - Part 3 Point Cloud & Sensor Data Visualization
    • 10. [Exercise] Build a depth camera viewer using mock depth sensor data.html (5.6 KB)
    • 11. [Review] Model solution, common errors, and challenge tasks.mp4 (22.3 MB)
    • 9. [Lecture] Points PointsMaterial basics, CSV loading, & depth color mapping.mp4 (28.1 MB)
    5 - Part 4 Introduction to Custom Shaders
    • 12. [Lecture] ShaderMaterial, uniforms, vertex fragment roles, & uTime animation.mp4 (24.5 MB)
    • 13. [Exercise] Implement a ripple shader that reacts to the mouse position.html (5.6 KB)
    • 14. [Review] Model solution, common errors, and challenge tasks.mp4 (22.8 MB)
    6 - Part 5 Post-Processing
    • 15. [Lecture] EffectComposer, Bloom, & performance costs of multiple effects.mp4 (24.1 MB)
    • 16. [Exercise] Add a Bloom (glow) effect to the point cloud viewer.html (5.6 KB)
    • 17. [Review] Model solution, common errors, and challenge tasks.mp4 (19.6 MB)
    7 - Part 6 Real-Time Data Integration
    • 18. [Lecture] WebSockets, rendering live data, & control panels with lil-gui.mp4 (18.1 MB)
    • 19. [Exercise] Build a live demo changing point cloud colors via sensor data.html (5.6 KB)
    • 20. [Review] Model solution, common errors, and challenge tasks.mp4 (18.6 MB)
    8 - Part 7 Model and Asset Pipeline
    • 21. [Lecture] GLTF GLB, Draco, texture optimization with KTX2, & lazy loading.mp4 (21.6 MB)
    • 22. [Exercise] Profile differences in model storage types & texture sizes.html (5.6 KB)
    • 23. [Review] Model solution, common errors, and challenge tasks.mp4 (15.9 MB)
    9 - Part 8 Capstone Project
    • 24. [Lecture] Workflow, state layer integration, tuning, & deployment.mp4 (33.3 MB)
    • 25. [Exercise] Integrate Parts 1–7 to complete a 3D Sensor Dashboard.html (5.6 KB)
    • 26. [Review] Model solution, common errors, and challenge tasks.mp4 (19.7 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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