45 citations · 53 across the 16 of their papers we have counts for
4 papers · 1 filter
Towards motion from video diffusion models
Paul Janson, Tiberiu Popa, Eugene Belilovsky
Text-conditioned video diffusion models have emerged as a powerful tool in the realm of video generation and editing. But their ability to capture the nuances of human movement rem…
Sketch-guided Cage-based 3D Gaussian Splatting Deformation
Tianhao Xie, Noam Aigerman, Eugene Belilovsky +1
3D Gaussian Splatting (GS) is one of the most promising novel 3D representations that has received great interest in computer graphics and computer vision. While various systems ha…
Dual-Phase Continual Learning: Supervised Adaptation Meets Unsupervised Retention
Vaibhav Singh, Rahaf Aljundi, Eugene Belilovsky
Foundational Vision-Language Models (VLMs) excel across diverse tasks, but adapting them to new domains without forgetting prior knowledge remains a critical challenge. Continual L…
Temporally Consistent Object Editing in Videos using Extended Attention
AmirHossein Zamani, Amir G. Aghdam, Tiberiu Popa +1
Image generation and editing have seen a great deal of advancements with the rise of large-scale diffusion models that allow user control of different modalities such as text, mask…