Video Probabilistic Diffusion Models in Projected Latent Space

Author:

Yu Sihyun1,Sohn Kihyuk2,Kim Subin1,Shin Jinwoo1

Affiliation:

1. KAIST

2. Google Research

Funder

IITP

KAIST

Publisher

IEEE

Reference71 articles.

1. Generative adversarial nets;goodfellow;Advances in neural information processing systems,2014

2. MoCoGAN: Decomposing Motion and Content for Video Generation

3. Long video generation with time-agnostic vqgan and time-sensitive trans-former;ge;European Conference on Computer Vision,0

4. Learning Spatiotemporal Features with 3D Convolutional Networks

5. Vector quan-tized diffusion model for text-to-image synthesis;gu;IEEE Conference on Computer Vision and Pattern Recognition,0

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