TY  - JOUR
TI  - Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
AU  - Blattmann, A.
AU  - Rombach, R.
AU  - Ling, H.
AU  - Dockhorn, T.
AU  - Kim, S. W.
AU  - Fidler, S.
AU  - Kreis, K.
PY  - 2023
DA  - 2023/04//
JO  - CVPR 2023 (IEEE/CVF)
AB  - 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.
KW  - generative-ai
KW  - video-generation
KW  - production-practice
UR  - https://arxiv.org/abs/2304.08818
LA  - en
ER  -