5 papers
FlowAnchor: Stabilizing the Editing Signal for Inversion-Free Video Editing
Ze Chen, Lan Chen, Yuanhang Li +1
We propose FlowAnchor, a training-free framework for stable and efficient inversion-free, flow-based video editing. Inversion-free editing methods have recently shown impressive ef…
Camera Artist: A Multi-Agent Framework for Cinematic Language Storytelling Video Generation
Haobo Hu, Qi Mao, Yuanhang Li +1
We propose Camera Artist, a multi-agent framework that models a real-world filmmaking workflow to generate narrative videos with explicit cinematic language. While recent multi-age…
MLV-Edit: Towards Consistent and Highly Efficient Editing for Minute-Level Videos
Yangyi Cao, Yuanhang Li, Lan Chen +1
We propose MLV-Edit, a training-free, flow-based framework that address the unique challenges of minute-level video editing. While existing techniques excel in short-form video man…
IC-Effect: Precise and Efficient Video Effects Editing via In-Context Learning
Yuanhang Li, Yiren Song, Junzhe Bai +4
We propose \textbf{IC-Effect}, an instruction-guided, DiT-based framework for few-shot video VFX editing that synthesizes complex effects (\eg flames, particles and cartoon charact…
StarVid: Enhancing Semantic Alignment in Video Diffusion Models via Spatial and SynTactic Guided Attention Refocusing
Yuanhang Li, Qi Mao, Lan Chen +5
Recent advances in text-to-video (T2V) generation with diffusion models have garnered significant attention. However, they typically perform well in scenes with a single object and…