Wassersplines for Neural Vector Field--Controlled Animation
Much of computer-generated animation is created by manipulating meshes with rigs. While this approach works well for animating articulated objects like animals, it has limited flexibility for animating less structured free-form objects. We introduce Wassersplines, a novel trajectory inference method for animating unstructured densities based on recent advances in continuous normalizing flows and optimal transport. The key idea is to train a neurally-parameterized velocity field that represents the motion between keyframes. Trajectories are then computed by advecting keyframes through the velocity field. We solve an additional Wasserstein barycenter interpolation problem to guarantee strict adherence to keyframes. Our tool can stylize trajectories through a variety of PDE-based regularizers to create different visual effects. We demonstrate our tool on various keyframe interpolation problems to produce temporally-coherent animations without meshing or rigging.
Code (1)
Methods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens
OmniLottie is a versatile framework that generates high quality vector animations from multi-modal instructions. For flexible motion and visual content control, we focus on Lottie, a light weight JSON formatting for both…
LottieGPT: Tokenizing Vector Animation for Autoregressive Generation
Despite rapid progress in video generation, existing models are incapable of producing vector animation, a dominant and highly expressive form of multimedia on the Internet. Vector animations offer resolution-independenc…
Video GenerationLINR Bridge: Vector Graphic Animation via Neural Implicits and Video Diffusion Priors
Vector graphics, known for their scalability and user-friendliness, provide a unique approach to visual content compared to traditional pixel-based images. Animation of these graphics, driven by the motion of their eleme…
Multi-Object Sketch Animation with Grouping and Motion Trajectory Priors
We introduce GroupSketch, a novel method for vector sketch animation that effectively handles multi-object interactions and complex motions. Existing approaches struggle with these scenarios, either being limited to sing…
Image2Gif: Generating Continuous Realistic Animations with Warping NODEs
Generating smooth animations from a limited number of sequential observations has a number of applications in vision. For example, it can be used to increase number of frames per second, or generating a new trajectory on…
Generative Adversarial NetworkVideo Frame Interpolation