Animation Frame Colorization with GANs

  • João Vitor Santiago Nogueira UFF / USP
  • Leonardo de Oliveira Carvalho UFF


This research paper presents an innovative approach to alleviate the labor-intensive nature of traditional 2D handmade animation utilizing artificial intelligence techniques. Specifically, we focus on refining the process of image colorization for 2D animations by employing Generative Adversarial Networks (GANs). The proposed method involves leveraging the power of GANs to paint a sequence of black and white frames in a manner that emulates the colors present in a single colored example.


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NOGUEIRA, João Vitor Santiago; CARVALHO, Leonardo de Oliveira. Animation Frame Colorization with GANs. In: WORKSHOP DE TRABALHOS DA GRADUAÇÃO - CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 36. , 2023, Rio Grande/RS. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023 . p. 132-135. DOI: