Assignment 04 (Due date: Nov. 2, 2025)
Neural Networks
Assignment 04
 
Due: Nov. 02, 2025
 
Assignment Objectives:
 
The primary goal of this assignment is to implement a Variational Autoencoder (VAE). 
 
  • Build and train a Variational Autoencoder (VAE) model to learn a 6 dimensional latent space representation of a facial data set.
  • Interact with the decoder part of the trained VAE by creating a graphical user interface (GUI) with six sliders, representing the values in a six-dimensional latent space.
  • Reconstruct and display facial images in real time when user interacts with the sliders using a mouse. .
 
Datasets:
 
You have the option to use any of the following facial data sets:
 
  • LFW (Labeled Faces in the Wild): Contains approximately 13,000 labeled facial images.
  • CelebA: Comprises over 200,000 celebrity images.
  • FER2013 (Facial Expression Recognition 2013): Includes around 35,000 images for facial expression analysis.
  • IMDB-WIKI: Contains over half a million images of celebrities.
  • CASIA WebFace: Includes over 500,000 images of celebrities.
  • MS Celeb 1M: Consists of around 10 million images of celebrities.
  • 300 Faces In-the-Wild (300W): A dataset with 68,000 labeled faces displaying varying poses, expressions, and occlusions, often used for facial landmark detection.
  • Multi-PIE: A dataset with more than 750,000 images of 337 individuals, captured under different illumination, pose, and expression conditions, commonly used for face recognition research.
  • AFLW (Annotated Facial Landmarks in the Wild): Contains over 25,000 in-the-wild facial images with annotated facial landmarks.
Grading Criteria:
 
 It is expected that the graphical interface and real-time reconstruction work seamlessly for both tasks.
 
Notes:
  • Your GUI must exactly match the image shown below.
  • Apart from the number of latent variables, your are free to choose the architecture of your VAEs.
  • Submit your saved trained model with your submission.
  • Your program must automatically load the saved model when it starts to run.
  • Your program must automatically show the GUI when it runs.
  • Do not submit the facial dataset.
  • Please ensure that you consult the specific data set's documentation and comply with usage terms and permissions when working with facial data sets.
Submission Guidelines:
  • The first four lines of your submitted files must have the following format:
# Your name (last-name, first-name)
# Your student ID (100x_xxx_xxx)
# Date of submission (yyyy_mm_dd)
# Assignment_nn_kk
 
  • Create a directory and name it according to the submission guidelines and include your files in that directory.
  • Zip the directory and upload it  to Canvas according to the submission guidelines.
 
graphic
  
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