Parallax Video Generator via Real-Time Multiplane Image Network (RT-MPINet)

We use a smaller 256x256 model for faster inference on CPU instances.

Notes:

1. Use a higher number of frames (>80) and loops (>4) to get a smoother video.
2. The default uses 60 frames and 4 camera loops for fast video generation.
3. We have 3 models available (larger the model, slower the inference):
   • Small: 6.6 Million parameters
   • Medium: 69 Million parameters
   • Large: 288 Million parameters (Not available in this demo due to storage limits, you need to download this model and run locally)
   • Please refer to our Project Page for more details