CGAN_jittor & PA3 Homework for Computer Graphics 2024, Tsinghua University
Overview
This project includes a file named CGAN.py, which implements a Generative Adversarial Network (GAN) based on the deep learning framework Jittor. This homework is part of the Computer Graphics course and serves as a warm-up test for the Jittor AI Competition.
Usage
To run the project, execute the following command:
python CGAN.py
Requirements
To run this project, the following libraries need to be installed:
jittor
numpy
Model Weights
Download the pre-trained model weights from the repository below, which include files for both the generator and discriminator. These can be directly used with the project.
CGAN_jittor & PA3 Homework for Computer Graphics 2024, Tsinghua University
Overview
This project includes a file named CGAN.py, which implements a Generative Adversarial Network (GAN) based on the deep learning framework Jittor. This homework is part of the Computer Graphics course and serves as a warm-up test for the Jittor AI Competition.
Usage
To run the project, execute the following command:
Requirements
To run this project, the following libraries need to be installed:
jittor
numpy
Model Weights
Download the pre-trained model weights from the repository below, which include files for both the generator and discriminator. These can be directly used with the project.
https://cloud.tsinghua.edu.cn/d/60bb1ede1ece4182b82c/
Helpful Links
Jittor AI competition