⚙️ Requirements

• Unity 6000.0.28f1 installed.
• Python installed (recommended >= 3.10).
• CUDA-compatible NVIDIA GPU.
  A GPU with CUDA support is required to run the motion generation models.

🔧 Instructions

1. Clone the repository Open your terminal in the desired folder and run:

   git clone https://github.com/ciroanni/MasterThesis
   cd MasterThesis

2. Open the project in Unity (version Unity 6000.0.28f1)

3. Open the "AI generation" tab. The AI generation interface will appear automatically once the project is loaded.

   

   

4. Make sure to adjust the paths to match your local setup.

   Specifically, set the correct Python executable in the Python Path field. Example (on Windows):

   C:/Users/<user name>/AppData/Local/Programs/Python/Python310/python.exe
   

   

5. Configure models. All commands and paths are located in config.json.

   • Do not modify the commands.
   • To use the models:
     • Clone the required models from my GitHub forks.
     • Follow each model's instructions in their repository to download the pretrained weights and datasets (T2M-GPT, MDM, and LADiff).
     • Then update the paths in config.json accordingly.
     • Note: running the models requires a CUDA-capable GPU.

   Supported models (so far):

   LADiff

   git clone -b master https://github.com/ciroanni/LADiff

   MDM

   git clone -b master https://github.com/ciroanni/motion-diffusion-model

   T2M-GPT

   git clone https://github.com/ciroanni/T2M-GPT

   If the folder "bvh2fbx" is empty or nonexistent after the clone command, run this (in the model folder):

   mkdir bvh2fbx #if there is no folder 
   git clone https://github.com/ciroanni/bvh2fbx

   If the folder "Motion" is empty or nonexistent after the clone command, run this (in the model folder):

   mkdir Motion #if there is no folder
   git clone https://github.com/ciroanni/Motion

6. Now you can use the “AI generation” tab by selecting the model. The result (both in FBX and .anim) will be generated in the folder:

   Assets/Resources/results
   

7. The SampleScene in

   Assets/Scenes
   

   is the scene used for the dataset videos used in the thesis work, and you can use it to visualize the results. In any case, the results are suitable for any humanoid rig.