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Awesome GitHub RepositoriesConditioned Frame Interpolators
Generates intermediate frames by denoising a latent representation conditioned on start and end frames using a pretrained diffusion model.
Distinct from Video Diffusion Models: Distinct from Video Diffusion Models: specifically conditions on start and end frames for interpolation rather than generating from noise.
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Awesome Conditioned Frame Interpolators GitHub Repositories
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- doubiiu/tooncrafter
Doubiiu/ToonCrafter
5,972Ver en GitHubToonCrafter is a model that combines latent diffusion, reference-based colorization, and sketch-guided control for cartoon animation and interpolation. It functions as a cartoon video interpolation model, a reference-based colorization model, and a sketch-guided animation tool, all built on a latent diffusion animation framework. The project distinguishes itself by integrating three core capabilities into a single pipeline: generating smooth intermediate frames between two cartoon images using diffusion-based priors, transferring color and style from a reference image onto black-and-white ske
Generates intermediate frames by denoising a latent representation conditioned on start and end frames.
Python
