Unconditional Video Generation
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Benchmarks
CelebV-HQ
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Most implemented
Video Diffusion Models
MOSO: Decomposing MOtion, Scene and Object for Video Prediction
Generative Video Bi-flow
StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN
Papers
Generative Video Bi-flow
We propose a novel generative video model by robustly learning temporal change as a neural Ordinary Differential Equation (ODE) flow with a bilinear objective of combining two aspects: The first is to map from the past i…
Unconditional Video GenerationVideo GenerationRethinking Video Super-Resolution: Towards Diffusion-Based Methods without Motion Alignment
In this work, we rethink the approach to video super-resolution by introducing a method based on the Diffusion Posterior Sampling framework, combined with an unconditional video diffusion transformer operating in latent …
AllSuper-ResolutionUnconditional Video GenerationVideo Generation+1FaceVid-1K: A Large-Scale High-Quality Multiracial Human Face Video Dataset
Generating talking face videos from various conditions has recently become a highly popular research area within generative tasks. However, building a high-quality face video generation model requires a well-performing p…
Image GenerationUnconditional Video GenerationVideo GenerationStyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN
We propose a method that can generate cinemagraphs automatically from a still landscape image using a pre-trained StyleGAN. Inspired by the success of recent unconditional video generation, we leverage a powerful pre-tra…
Unconditional Video GenerationVideo Generation0-1 laws for pattern occurrences in phylogenetic trees and networks
In a recent paper, the question of determining the fraction of binary trees that contain a fixed pattern known as the snowflake was posed. We show that this fraction goes to 1, providing two very different proofs: a pure…
10-shot image generation3D Anomaly Detection and Segmentation3D Face Reconstruction+15StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation
Unconditional video generation is a challenging task that involves synthesizing high-quality videos that are both coherent and of extended duration. To address this challenge, researchers have used pretrained StyleGAN im…
Style TransferUnconditional Video GenerationVideo Generation