19 citations · 25 across the 5 of their papers we have counts for
3 papers · 1 filter
Sequence-Adaptive Video Prediction in Continuous Streams using Diffusion Noise Optimization
Sina Mokhtarzadeh Azar, Emad Bahrami, Enrico Pallotta +3
In this work, we investigate diffusion-based video prediction models, which forecast future video frames, for continuous video streams. In this context, the models observe continuo…
EgoControl: Controllable Egocentric Video Generation via 3D Full-Body Poses
Enrico Pallotta, Sina Mokhtarzadeh Azar, Lars Doorenbos +3
Egocentric video generation with fine-grained control through body motion is a key requirement towards embodied AI agents that can simulate, predict, and plan actions. In this work…
CamC2V: Context-aware Controllable Video Generation
Luis Denninger, Sina Mokhtarzadeh Azar, Juergen Gall
Recently, image-to-video (I2V) diffusion models have demonstrated impressive scene understanding and generative quality, incorporating image conditions to guide generation. However…