2 papers
cs.CV2025
FADE: Frequency-Aware Diffusion Model Factorization for Video Editing
Yixuan Zhu, Haolin Wang, Shilin Ma +4
Recent advancements in diffusion frameworks have significantly enhanced video editing, achieving high fidelity and strong alignment with textual prompts. However, conventional appr…
cs.CV2023
MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers
Haoyu Ma, Shahin Mahdizadehaghdam, Bichen Wu +5
Recent advances in generative AI have significantly enhanced image and video editing, particularly in the context of text prompt control. State-of-the-art approaches predominantly…