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cs.CV2022★ 1 cited
Efficient Video Prediction via Sparsely Conditioned Flow Matching
Aram Davtyan, Sepehr Sameni, Paolo Favaro
We introduce a novel generative model for video prediction based on latent flow matching, an efficient alternative to diffusion-based models. In contrast to prior work, we keep the…
cs.CV2022★ 1 cited
Controllable Video Generation through Global and Local Motion Dynamics
Aram Davtyan, Paolo Favaro
We present GLASS, a method for Global and Local Action-driven Sequence Synthesis. GLASS is a generative model that is trained on video sequences in an unsupervised manner and that…