太极图形出品的全新播客节目。关注计算机图形学、物理仿真、人工智能相关话题。我们邀请各行业优秀的、有趣的朋友们，带来最有料的知识分享。
Podcast Overview
太极图形出品的全新播客节目。关注计算机图形学、物理仿真、人工智能相关话题。我们邀请各行业优秀的、有趣的朋友们，带来最有料的知识分享。
Language
🇨🇳
Publishing Since
5/18/2022
1 verified contact email on file for 极有可能
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
February 15, 2023
Vol.06 和游戏引擎工程师聊技术进化：谁说 2D 游戏是时代的眼泪？
<p>在 <a href="https://www.xiaoyuzhoufm.com/episode/6310b63643274df80456cd5c">Vol.03《与游戏引擎工程师深扒物理模拟》</a>节目中，张宇分享了一些游戏开发的基础知识和物理引擎的技术进展。本期节目我们再次邀请他，聊聊 2D 游戏的过去、现在和未来，还有他正在开发的多材料物理引擎 Soft2D，据说不久就能看到游戏原型啦，狠狠期待~~~</p><h2>⏱ 收听指南</h2><p>02:35 近几年令人印象深刻的 2D 游戏</p><p>05:12 快问快答：2D 游戏回忆杀</p><p>08:16《矮人要塞》的世界模拟系统有多复杂？</p><p>12:02《暗黑 2》原版 VS 重制版，暴雪要成为时代的眼泪了吗？</p><p>17:17《愤怒的小鸟》《顽皮小鳄鱼爱洗澡》的物理效果是如何实现的？</p><p>21:41 多材料物理引擎 Soft2D 是什么？有哪些应用前景？</p><h2>🎙 主播</h2><p>Xinyi</p><h2>😎 嘉宾</h2><p>Yu</p><h2>🎵 背景音乐</h2><p>Let Go - Danijel Zambo</p><p>Game Over - Danijel Zambo</p><p>Glimmer - AGST</p><h2>✂️ 后期制作</h2><p>Xinyi</p><h2>👀 关于「极有可能」</h2><p>这是「太极图形」出品的一档播客节目，每期会邀请不同的嘉宾，分享创业公司的打工日常，还有和图形技术有关的新进展、新知识、新观点。</p>
December 29, 2022
Vol.05 对话追光动画浩炜：一部动画电影，从创意到成片，都要经历哪些制作过程？
<p>本期音频内容来自《太极图形课番外篇》，录制时间为去年 12 月，课程主讲人刘天添邀请追光动画研发主管韩浩炜，进行了一次有关「动画电影幕后」的硬核对话，深度解析动画电影的制作全流程，揭秘《白蛇：缘起》背后的图形技术。</p><p><strong>⏱ 收听指南</strong></p><p><strong>06:02 国风动画的制作有哪些特点？和迪士尼动画有哪些不同？</strong></p><p><strong>10:18 追光动画的制作流程是什么样的？</strong></p><p><strong>30:32 动画电影中的海量资产是如何制作的？</strong></p><p><strong>36:00 《白蛇：缘起》哪些场景运用了物理模拟？</strong></p><p><strong>48:18 给喜欢动画行业的同学一些建议</strong></p><h2><strong>🎙 主播</strong></h2><p>Tiantian</p><h2><strong>😎 嘉宾</strong></h2><p>Haowei</p><h2>🎵 背景音乐</h2><p>Coma Svensson - So Long Yesterday</p><h2>✂️ 后期制作</h2><p>Xinyi</p><h2>👀 关于「极有可能」</h2><p>这是「太极图形」出品的一档播客节目，每期会邀请不同的嘉宾，分享创业公司的打工日常，还有和图形技术有关的新进展、新知识、新观点。</p>
September 23, 2022
Vol.04 和计算机图形学大佬唠嗑：动画电影幕后、迪士尼与皮克斯、学术界和工业界……
<p>本期音频内容来自《太极图形课番外篇》，录制时间是去年年底，当时《太极图形课第一季》接近尾声，这门「教你快速上手 Taichi 编程语言和计算机图形学」的线上课程，获得了非常不错的关注和反响，于是，新媒体的 Libin 同学邀请到课程主讲人——太极图形资深研究科学家 Tiantian 老师，聊了聊 3D 动画、CG 特效等图形学的实际应用，还有如何进入图形学专业领域，选择学术界或工业界的问题。这期对谈也是《极有可能》的早期雏形，期待你的收听，欢迎随时评论互动~</p><h2>⏱ 收听指南</h2><p>08:41 Tiantian 老师从什么时候开始接触图形学</p><p>14:55 图形学对数学物理要求高吗</p><p>26:18 早期的迪士尼 2D 动画电影是如何制作的</p><p>31:20 冰雪奇缘 2 运用了哪些顶级 CG 技术</p><p>44:01 渲染特效画面到底有多「烧钱」</p><p>54:54 AI 和 CG， 专业方向应该怎么选</p><h2>🎙 主播</h2><p>Libin</p><h2>😎 嘉宾</h2><p>Tiantian</p><h2>🎵 背景音乐</h2><p>Mac Taboel - Finally Dessert</p><p>Try Everything - Shakira</p><h2>✂️ 后期制作</h2><p>Xinyi</p><h2>👀 关于「极有可能」</h2><p>这是「太极图形」出品的一档播客节目，每期会邀请不同的嘉宾，分享创业公司的打工日常，还有和图形技术有关的新进展、新知识、新观点。</p>
6 total episodes available
Deep-dive analytics for 极有可能
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is 极有可能?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.