text: (a) Visualization Methodology. We train a conditional diffusion model to decode the V-JEPA feature-space predictions to 
  interpretable pixels; the pretrained V-JEPA encoder and predictor networks are kept frozen in this process. The decoder is 
  only fed the representations predicted for the missing regions of the video, and does not have access to the unmasked regions 
  of the video. 