Adding an L1 sparsity penalty to the motion dictionary of the LIA portrait animator produces disentangled, human-interpretable motion vectors that support controllable image and video editing and scale to roughly one billion parameters.
Videocrafter2: Overcoming data limitations for high-quality video diffusion models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
LIA-X: Interpretable Latent Portrait Animator
Adding an L1 sparsity penalty to the motion dictionary of the LIA portrait animator produces disentangled, human-interpretable motion vectors that support controllable image and video editing and scale to roughly one billion parameters.