text: (b) Visualizations. First Row: Masked videos used as input to the V-JEPA models (a pretrained ViT-H/16 encoder and its 
  corresponding predictor network). Other rows: Bounding boxes contain various samples from the decoder overlayed on the 
  original video. V-JEPA is not a generative model and the decoder does not have access to the context (first row), so we do 
  not expect samples to exactly match the input. This experiment qualitatively illustrates what information is encoded and 
  predicted by V-JEPA. In particular, characteristics that are common across samples represent information that is encoded in 
  the V-JEPA predictions. V-JEPA generates predictions that are spatially and temporally coherent with unmask region of the 
  video. The predictions also capture consistent motion through time. 
  
  Figure 6 Qualitative Analysis. Offline visualizations of the V-JEPA feature-space predictions. 