Sprite Sheet Diffusion: Generate Game Character for Animation

• URL: http://arxiv.org/abs/2412.03685v1
• Date: Wed, 04 Dec 2024 19:40:05 GMT
• Title: Sprite Sheet Diffusion: Generate Game Character for Animation
• Authors: Cheng-An Hsieh, Jing Zhang, Ava Yan,
• Abstract summary: Generative models, such as diffusion models, have the potential to revolutionize this process by automating the creation of sprite sheets. Diffusion models, known for their ability to generate diverse images, can be adapted to create character animations.
• Score: 6.168767879170154
• License:
• Abstract: In the game development process, creating character animations is a vital step that involves several stages. Typically for 2D games, illustrators begin by designing the main character image, which serves as the foundation for all subsequent animations. To create a smooth motion sequence, these subsequent animations involve drawing the character in different poses and actions, such as running, jumping, or attacking. This process requires significant manual effort from illustrators, as they must meticulously ensure consistency in design, proportions, and style across multiple motion frames. Each frame is drawn individually, making this a time-consuming and labor-intensive task. Generative models, such as diffusion models, have the potential to revolutionize this process by automating the creation of sprite sheets. Diffusion models, known for their ability to generate diverse images, can be adapted to create character animations. By leveraging the capabilities of diffusion models, we can significantly reduce the manual workload for illustrators, accelerate the animation creation process, and open up new creative possibilities in game development.

Related papers

• PhysAnimator: Physics-Guided Generative Cartoon Animation [19.124321553546242]
  We introduce PhysAnimator, a novel approach for generating anime-stylized animation from static anime illustrations. To capture the fluidity and exaggeration characteristic of anime, we perform image-space deformable body simulations on extracted mesh geometries. We extract and warp sketches from the simulation sequence, generating a texture-agnostic representation, and employ a sketch-guided video diffusion model to synthesize high-quality animation frames.
  arXiv  Detail & Related papers  (2025-01-27T22:48:36Z)
• AniDoc: Animation Creation Made Easier [54.97341104616779]
  Our research focuses on reducing the labor costs in the production of 2D animation by harnessing the potential of increasingly powerful AI. AniDoc emerges as a video line art colorization tool, which automatically converts sketch sequences into colored animations. Our model exploits correspondence matching as an explicit guidance, yielding strong robustness to the variations between the reference character and each line art frame.
  arXiv  Detail & Related papers  (2024-12-18T18:59:59Z)
• Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D Characters [86.13319549186959]
  We present Make-It-Animatable, a novel data-driven method to make any 3D humanoid model ready for character animation in less than one second. Our framework generates high-quality blend weights, bones, and pose transformations. Compared to existing methods, our approach demonstrates significant improvements in both quality and speed.
  arXiv  Detail & Related papers  (2024-11-27T10:18:06Z)
• FlipSketch: Flipping Static Drawings to Text-Guided Sketch Animations [65.64014682930164]
  Sketch animations offer a powerful medium for visual storytelling, from simple flip-book doodles to professional studio productions. We present FlipSketch, a system that brings back the magic of flip-book animation -- just draw your idea and describe how you want it to move!
  arXiv  Detail & Related papers  (2024-11-16T14:53:03Z)
• AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment [64.02822911038848]
  We present AnimateZoo, a zero-shot diffusion-based video generator to produce animal animations. Key technique used in our AnimateZoo is subject alignment, which includes two steps. Our model is capable of generating videos characterized by accurate movements, consistent appearance, and high-fidelity frames.
  arXiv  Detail & Related papers  (2024-04-07T12:57:41Z)
• Breathing Life Into Sketches Using Text-to-Video Priors [101.8236605955899]
  A sketch is one of the most intuitive and versatile tools humans use to convey their ideas visually. In this work, we present a method that automatically adds motion to a single-subject sketch. The output is a short animation provided in vector representation, which can be easily edited.
  arXiv  Detail & Related papers  (2023-11-21T18:09:30Z)
• AnimateAnything: Fine-Grained Open Domain Image Animation with Motion Guidance [13.416296247896042]
  We introduce an open domain image animation method that leverages the motion prior of video diffusion model. Our approach introduces targeted motion area guidance and motion strength guidance, enabling precise control of the movable area and its motion speed. We validate the effectiveness of our method through rigorous experiments on an open-domain dataset.
  arXiv  Detail & Related papers  (2023-11-21T03:47:54Z)
• SketchBetween: Video-to-Video Synthesis for Sprite Animation via Sketches [0.9645196221785693]
  2D animation is a common factor in game development, used for characters, effects and background art. Automated animation approaches exist, but are designed without animators in mind. We propose a problem formulation that adheres more closely to the standard workflow of animation.
  arXiv  Detail & Related papers  (2022-09-01T02:43:19Z)
• Learning-based pose edition for efficient and interactive design [55.41644538483948]
  In computer-aided animation artists define the key poses of a character by manipulating its skeletons. Character pose must respect many ill-defined constraints, and so the resulting realism greatly depends on the animator's skill and knowledge. We describe an efficient tool for pose design, allowing users to intuitively manipulate a pose to create character animations.
  arXiv  Detail & Related papers  (2021-07-01T12:15:02Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.