Exciting news! NVIDIA has recently unveiled their latest research on text-to-video generation

NVIDIA has recently unveiled their latest research on text-to-video generation, which includes a demonstration video featuring a storm trooper vacuuming a beach. This innovative approach, called Video Latent Diffusion Models (Video LDMs), employs a diffusion model in a compressed latent space to produce high-quality videos while minimizing computational resources. 

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The process involves pre-training an image LDM on a dataset of images, converting it into a Video LDM by adding temporal layers to model video frames, fine-tuning the Video LDM on encoded video sequences to create a video generator, aligning diffusion model upsamplers to generate high-resolution videos, and validating the Video LDM on real driving videos of 512x1024 resolution. 

The research team achieved state-of-the-art performance and plans to apply this technique in creative content creation with text-to-video modeling. 

The Video LDM process can be summarized in several steps: 

1.  Pre-training the image LDM using a dataset of images. 
2. Adding temporal layers to the image LDM to convert it into a Video LDM capable of modeling video frames.
3.  Fine-tuning the Video LDM using encoded video sequences to create a video generator. 
4. Temporally aligning the diffusion model upsamplers to generate high-resolution videos. 
5. Validating the Video LDM on real driving videos with a resolution of 512x1024, which achieves state-of-the-art performance.
6.  Utilizing this approach for creative content creation through text-to-video modeling.

 Additional information can be found on the project page and in the provided link.

 abs: https://lnkd.in/dmQvgapc 

project page: https://lnkd.in/dGgyukkP