@article{alignyourlatentsvideoldm2023,
  title = {Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models},
  author = {Blattmann, A. and Rombach, R. and Ling, H. and Dockhorn, T. and Kim, S. W. and Fidler, S. and Kreis, K.},
  year = {2023},
  journal = {CVPR 2023 (IEEE/CVF)},
  url = {https://arxiv.org/abs/2304.08818},
  abstract = {Blattmann et al. (2023) extend the latent diffusion model architecture to video by inserting temporal attention and 3D convolution layers into a pretrained image LDM, aligning the temporal dimension to produce temporally coherent high-resolution video. Published at CVPR 2023, the paper is the architectural ancestor of the latent video generation category. Admitted as a distinct foundational entry per owner decision QL3, it provides the conceptual origin for video-generation tools, including AnimateDiff, that are entering animation and motion-graphics production workflows.},
  keywords = {generative-ai, video-generation, production-practice},
  note = {AI \& Animation Education Knowledge Base}
}