5 papers
In-context Region-based Drag: Drag Any Region to Any Shape
Jiacheng Sui, Tianyu Hao, Bingjie Gao +2
Diffusion models have shown promise in drag-style editing. Previous works mainly focus on point-based drag, which is inherently ambiguous. This paper focuses on region-based drag a…
Uni-Classifier: Leveraging Video Diffusion Priors for Universal Guidance Classifier
Yujie Zhou, Pengyang Ling, Jiazi Bu +2
In practical AI workflows, complex tasks often involve chaining multiple generative models, such as using a video or 3D generation model after a 2D image generator. However, distri…
DynaDrag: Dynamic Drag-Style Image Editing by Motion Prediction
Jiacheng Sui, Yujie Zhou, Li Niu
To achieve pixel-level image manipulation, drag-style image editing which edits images using points or trajectories as conditions is attracting widespread attention. Most previous…
Fine-Grained GRPO for Precise Preference Alignment in Flow Models
Yujie Zhou, Pengyang Ling, Jiazi Bu +5
The incorporation of online reinforcement learning (RL) into diffusion and flow-based generative models has recently gained attention as a powerful paradigm for aligning model beha…
Light-A-Video: Training-free Video Relighting via Progressive Light Fusion
Yujie Zhou, Jiazi Bu, Pengyang Ling +10
Recent advancements in image relighting models, driven by large-scale datasets and pre-trained diffusion models, have enabled the imposition of consistent lighting. However, video…