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COMP3360 Data-Driven Computer Animation

Welcome to the COMP3360 in year 2023-2024!

Here is the code repository of HKU course COMP3360. Any commit and issue will be welcome.

Instructor: Prof. Taku Komura

TAs: @Mingyi Shi @Zhouyingcheng Liao

cover

Instruction

  • Get the latest version of this repo
git clone https://github.com/Shimingyi/COMP3360_Data_Driven_Animation.git -b 2024
  • Don't hesitate to seek helps with issue workspace

Assignment 1 - Basic Character Animation

In this assignment, you will become familiar with fundamental data structures and the animation creation workflow. Your task is to craft an animation clip using the provided infrastructure. Also, you need to understand the mathematical concepts behind Forward Kinematics (FK) and Inverse Kinematics (IK), and then to interpret the motion capture files and interact with them.

Details: [subfolder]

Tutorial Slides

  1. Basic Linear Algebra in Graphics [slide]
  2. Forward and Inverse Kinematics [slide]

Assessments

  • A rendered video with character animation (Task 1, 40%)
  • Core code implementation of Forward Kinematics (Task 2, 25%)
  • Core code implementation of Inverse Kinematics - CCD IK (Task 3, 25%)
  • Report (10%)

Useful tutorials of Blender

Assignment 2 - Animation Processing and Scripting

This assignment will provide a practical introduction to working with animation data through various algorithms such as interpolation and concatenation. Additionally, you will learn to consider various variables from motion data to enhance the performance of the motion matching method.

Detials: [subfolder]

Tutorial Slides

  1. Basic motion processing [slides]
  2. Real-time Character Control [slides]

Assessments

  • part1_key_framing (30%)
    • Linear interpolation (10%); Slerp Interpolation (15%)
    • Report the different performance by giving different numbers (5%)
  • part2_concatenation (35%)
    • Define the search window (10%) + Calculate the sim_matrix (10%);
    • Find the real_i and real_j (10%);
    • The shifting on the root joint position (5)
  • part3_motion_matching (25%)
    • Less variables, and better performance(total 15%, 22% - your_variable_num)
    • System analyzation (10%) about variable selection, future frame range, etc.
  • Report (8%) + 2 videos (2%)
    • Including necessary experiment results by different parameters (4%) and your thinking(4%) for how to produce high quality motions.

Pls, contact zycliao@cs.hku.hk or myshi@cs.hku.hk if there is any question.