5 papers
StreamEdit: Training-Free Video Editing via Few-Step Streaming Video Generation
Guanlong Jiao, Chenyangguang Zhang, Jia Jun Cheng Xian +2
Although existing video editing methods are generally feasible, they often require many costly iterations and still struggle to deliver high-quality yet satisfying editing results.…
TrajLoom: Dense Future Trajectory Generation from Video
Zewei Zhang, Jia Jun Cheng Xian, Kaiwen Liu +4
Predicting future motion is crucial in video understanding and controllable video generation. Dense point trajectories are a compact, expressive motion representation, but modeling…
Free Lunch Alignment of Text-to-Image Diffusion Models without Preference Image Pairs
Jia Jun Cheng Xian, Muchen Li, Haotian Yang +4
Recent advances in diffusion-based text-to-image (T2I) models have led to remarkable success in generating high-quality images from textual prompts. However, ensuring accurate alig…
From Graph Diffusion to Graph Classification
Jia Jun Cheng Xian, Sadegh Mahdavi, Renjie Liao +1
Generative models such as diffusion models have achieved remarkable success in state-of-the-art image and text tasks. Recently, score-based diffusion models have extended their suc…
POBEVM: Real-time Video Matting via Progressively Optimize the Target Body and Edge
Jianming Xian
Deep convolutional neural networks (CNNs) based approaches have achieved great performance in video matting. Many of these methods can produce accurate alpha estimation for the tar…