Text-to-Image
Diffusers
English
learn_ddpm / journals /2025_01_29.md
Harshit Agarwal
initial comm
eaefa93

Game Structure

  1. Task 1: Noise Pattern Identification

    • User sees a noisy image and the original image side by side.
    • User selects which noise patterns (from MCQ options) are applied to the noisy image.
    • Feedback is provided on correctness.
  2. Task 2: Noise Pattern Memorization

    • User watches a simulation where noise patterns are sequentially applied to an image.
    • After the simulation, the user must recall and select the patterns in the correct order (forwards and backwards).
    • Feedback is provided on accuracy.
  3. Boss Level: Gaussian Noise Deciphering

    • User is shown an image with Gaussian noise applied.
    • User must identify the noise characteristics (e.g., intensity, distribution) or match it to a reference.

1. Image and Noise Generator

  • Create a SquareImage component that displays the original and noisy images.
  • Create a NoisePattern component that generates the noise patterns (grids with lines).
  • Use a NoiseGenerator utility to procedurally apply noise patterns to the image.

2. Task 1: Noise Identification

  • Create a Task1 component that:
    • Displays the original and noisy images.
    • Provides MCQ options for noise patterns.
    • Handles user input and provides feedback.

3. Task 2: Noise Memorization

  • Create a Task2 component that:
    • Plays a simulation of noise patterns being applied sequentially.
    • Provides an interface for the user to select patterns in order.
    • Validates the user’s input and provides feedback.

4. Boss Level: Gaussian Noise

  • Create a BossLevel component that:
    • Applies Gaussian noise to an image.
    • Provides tools for the user to analyze and decipher the noise.

5. Game Manager

  • Create a GameManager component that:
    • Tracks the user’s progress through tasks.
    • Handles transitions between tasks.
    • Displays scores and feedback.

Next Steps

  1. Implement the NoiseGenerator utility to create and apply noise patterns.
  2. Add feedback mechanisms for user selections.
  3. Build the simulation for Task 2.
  4. Integrate Gaussian noise for the Boss Level.
  5. Style the app to make it visually appealing.