Generating sprite sheet animations with deep generative models

Bachelor Thesis: generating 2D characters and sprite sheet animations with deep generetive models.

Subject

This thesis aims to investigate and find the best approach for generating 2D characters and sprite sheet animations for that character. Creation of 2D characters now is a task that can quickly be done with deep generative models, but we aim to go a step further and make a sprite sheet for that character with these models. Sprite sheets are images that contain different states of the character for each frame, and if you play frames one after each other, you have an animation. Making a sprite sheet animation is time-consuming because the artist has to draw or adjust the character components for each frame; this thesis aims to find the best approach for generating this animation with deep generative models.

Your Task

Your task is to familiarize yourself with generative models, investigate the state of the art in this field, and determine which generative models can generate a character’s sprite sheet. There are various approaches to achieving this goal; you have to try as many as you can, compare the complexity of using them, and compare the quality of the generated images and animations.

Prerequisites:

● Experience in Python
● Nice to have: Experience in Unity.

Contact:

Danial Barazandeh, barazand at uni-bremen.de