https://rafael-wampfler.github.io/tags/course/CourseHugoBlox Kit (https://hugoblox.com)en-usMon, 01 Jan 2024 00:00:00 +0000https://rafael-wampfler.github.io/media/icon_hu_d100f07c298b9e73.pnghttps://rafael-wampfler.github.io/tags/course/https://rafael-wampfler.github.io/courses/ai-digital-characters/Mon, 01 Jan 2024 00:00:00 +0000https://rafael-wampfler.github.io/courses/ai-digital-characters/<h2 id="overview">Overview</h2> <p>This lecture provides an overview of techniques to build conversational digital characters. The main components of conversational digital characters are introduced: chatbots, speech recognition, speech synthesis, and animation synthesis. Real-life applications of such digital characters are demonstrated on different use cases (e.g., ).</p> <h2 id="content">Content</h2> <p>The lecture opens with basics on digital characters. Afterwards, the main components to build a conversational digital character are introduced. This includes the basics of natural language processing used to build a chatbot, speech recognition, speech synthesis, and animating a digital character based on motion capturing and deep learning. Further, autonomous agents based on knowledge graphs are covered. The lecture ends with real-life applications of digital characters.</p> <h2 id="details">Details</h2> <table> <thead> <tr> <th></th> <th></th> </tr> </thead> <tbody> <tr> <td><strong>Level</strong></td> <td>Graduate (MSc / PhD)</td> </tr> <tr> <td><strong>Semester</strong></td> <td>Spring</td> </tr> <tr> <td><strong>Institution</strong></td> <td>ETH Zurich, D-INFK</td> </tr> <tr> <td><strong>Role</strong></td> <td>Course creator &amp; lecturer</td> </tr> <tr> <td><strong>Years</strong></td> <td>2024 – present</td> </tr> </tbody> </table>https://rafael-wampfler.github.io/courses/seminar-digital-humans/Thu, 01 Sep 2022 00:00:00 +0000https://rafael-wampfler.github.io/courses/seminar-digital-humans/<h2 id="overview">Overview</h2> <p>This seminar covers advanced topics in digital humans with a focus on the latest research results. Topics include estimating human pose and motion from images, human motion synthesis, learning-based human avatar creation, learning neural implicit representations for humans, modeling, animations, artificial intelligence for digital characters, and others. A collection of research papers is selected.</p> <h2 id="objectives">Objectives</h2> <p>The goal is to get an overview of actual research topics in the field of digital humans and to improve presentation and critical analysis skills.</p> <h2 id="format">Format</h2> <p>This seminar covers advanced topics in digital humans including both seminal research papers as well as the latest research results. A collection of research papers are selected covering topics such as estimating human pose and motion from images, human motion synthesis, learning-based human avatar creation, learning neural implicit representations for humans, modeling, animations, artificial intelligence for digital characters, and others. Each student presents one paper to the class and leads a discussion about the paper. All students read the papers and participate in the discussion.</p> <h2 id="details">Details</h2> <table> <thead> <tr> <th></th> <th></th> </tr> </thead> <tbody> <tr> <td><strong>Level</strong></td> <td>Graduate (MSc / PhD)</td> </tr> <tr> <td><strong>Semester</strong></td> <td>Fall</td> </tr> <tr> <td><strong>Institution</strong></td> <td>ETH Zurich, D-INFK</td> </tr> <tr> <td><strong>Role</strong></td> <td>Course creator &amp; lecturer</td> </tr> <tr> <td><strong>Years</strong></td> <td>2022 – present</td> </tr> </tbody> </table>