Need For Creative Talents:
With the increasing demand for high-quality CG feature animations, there is a need for artists and animators who are skilled in the use of open source AI and design tools. This course aims to provide students with the knowledge and skills necessary to create CG feature animations using these tools, and to explore the potential of AI and other emerging technologies in the field. By working collaboratively in a team, students will also develop important interpersonal skills that are essential for success in the creative industries.
Course Curriculum:
Weeks 1-2: Introduction to CG Feature Animation
During the first two weeks of the course, students will be introduced to the basic concepts and principles of CG feature animation. This will include an overview of the course, an introduction to the software and tools that will be used throughout the program, and an overview of the CG feature animation production pipeline. Students will also begin working on their first project, which will involve creating a simple 3D model using Blender AI.
Weeks 3-4: Character Design and Modeling
In weeks 3 and 4, students will be introduced to the principles of character design and modeling. This will include an overview of the design process, character anatomy, and the basics of 3D modeling. Students will also be introduced to the Midjourney software tool, which will be used for character design. During this section, students will work on designing and modeling their own original characters.
Weeks 5-6: Environment Design and World Building
During weeks 5 and 6, students will learn about environment design and world building. This will include an introduction to mood board creation, environmental storytelling, and the creation of assets for use in environments. Students will also begin to work on designing and building their own environments using Blender AI.
Weeks 7-8: Special Effects and Simulation
In weeks 7 and 8, students will learn about special effects and simulation. This will include an introduction to Stable Diffusion software tool, which will be used for creating special effects. Students will work on adding special effects to their characters and environments.
Weeks 9-10: Crowd Scene and Motion Capture
In weeks 9 and 10, students will learn about crowd scenes and motion capture. This will include an introduction to the Point-E and PifuHD software tools, which will be used for motion capture and facial expression transfer. Students will work on adding motion capture to their characters and creating a crowd scene.
Weeks 11-12: Sound Design and Video Compositing
In weeks 11 and 12, students will learn about sound design and video compositing. This will include an introduction to sound design principles and the use of sound in animation, as well as an introduction to the Kdenlive software tool, which will be used for video compositing and editing. Students will work on creating their own sound design and integrating it into their final project.
Weeks 13-14: Texture, Lighting, and Rendering
In weeks 13 and 14, students will learn about texture, lighting, and rendering. This will include an introduction to texture creation and editing using Krystal Office+(GIMP, Krita, and Inkscape), as well as an introduction to lighting and rendering in Blender AI. Students will work on adding textures, lighting, and rendering to their final project.
Weeks 15-16: Final Graduation Project
During the final two weeks of the course, students will work on their final graduation project. This will involve using all the skills and tools they have learned throughout the program to create a high-quality CG feature animation. Students will be required to submit a completed project that meets certain quality standards, which will be outlined in the project guidelines.
Throughout the course, students will have access to additional resources and materials, such as video tutorials and online forums, to support their learning and development. The course will also include regular assessments and feedback to help students track their progress and identify areas where they need to improve.

This course aims to provide students with an in-depth understanding of artificial intelligence (AI) image generation techniques and their application in creative projects to create visually appealing images. The course will provide students with a detailed overview of the AI image generation process, including how to select and construct key terms to control character feature generation for commercially-applicable concept artworks. The instructor will also show students how to use AI tools to translate their creative ideas and emotions into visuals that can be used in concept design, split-screening, comic drawing, game and animation creation to achieve ideal, cost-effective, and smooth graphics. ----------------------------------------------- Course Structure: 1. Introduction to basic AI techniques: introduction to the basic background, historical process and principles of AI image generation techniques; explain how to use AI systems and how to make judgments about different application contexts 2. Image representation: learn about graphic and data representation, and how aspects of color, light, contrast and color differences relate to other color channels in images 3. AI image generation: learn how to use popular AI image generation tools to generate high quality images; make good use of official websites for filtering searches and use shared open databases; connect with developers of movies and games for fast, low-cost and diverse character settings 4. AI creation: Use AI to generate various music styles, and use what you have learned to start producing AI-generated comics and games

AI music generation is the process of generating music using artificial intelligence. By analyzing music data and patterns and using machine learning algorithms, different types of music can be generated, including pop, jazz, classical, and more. This course starts with an overview of music generation techniques and is centered around mastering different kinds of music generation techniques. Students will also be able to learn basic music theory such as music structure, genre, chords, melody, rhythm, and music format. The course is suitable for beginners. By completing practical projects, students can better understand the principles and practical applications of AI music generation, and use AI to create different music compositions to improve the efficiency and creativity of music creation.

In this course, students will learn about Natural Language Processing (NLP) techniques and common language models such as RNN, LSTM, and Transformer. They will learn content generation skills including how to generate text for Q&A and how to improve the accuracy of Q&A using the ChatGPT tool as a learning model. The course will also delve into the future of chat AI and Q&A systems, and their possible applications in different fields.

This course will teach you how to use Artificial Intelligence (AI) to generate videos. The instructor will introduce the basic concepts of animation: frame rate, storyboard, special effects, etc. The instructor will also introduce the current application of AI in the animation industry, such as how the industry uses the latest AI technology to assist in storyboarding, motion capture, special effects, adding subtitles and background music. By the end of the course, students will use their knowledge of AI animation production processes and techniques to generate their own short animation.