6 papers
UniEditBench: A Unified and Cost-Effective Benchmark for Image and Video Editing via Distilled MLLMs
Lifan Jiang, Tianrun Wu, Yuhang Pei +3
The evaluation of visual editing models remains fragmented across methods and modalities. Existing benchmarks are often tailored to specific paradigms, making fair cross-paradigm c…
SNR-Edit: Structure-Aware Noise Rectification for Inversion-Free Flow-Based Editing
Lifan Jiang, Boxi Wu, Yuhang Pei +5
Inversion-free image editing using flow-based generative models challenges the prevailing inversion-based pipelines. However, existing approaches rely on fixed Gaussian noise to co…
ConsistencyDet: A Few-step Denoising Framework for Object Detection Using the Consistency Model
Lifan Jiang, Zhihui Wang, Changmiao Wang +2
Object detection, a quintessential task in the realm of perceptual computing, can be tackled using a generative methodology. In the present study, we introduce a novel framework de…
MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization
Hengjia Li, Lifan Jiang, Xi Xiao +4
Video identity customization seeks to produce high-fidelity videos that maintain consistent identity and exhibit significant dynamics based on users' reference images. However, exi…
VidSketch: Hand-drawn Sketch-Driven Video Generation with Diffusion Control
Lifan Jiang, Shuang Chen, Boxi Wu +2
With the advancement of generative artificial intelligence, previous studies have achieved the task of generating aesthetic images from hand-drawn sketches, fulfilling the public's…
HuViDPO:Enhancing Video Generation through Direct Preference Optimization for Human-Centric Alignment
Lifan Jiang, Boxi Wu, Jiahui Zhang +2
With the rapid development of AIGC technology, significant progress has been made in diffusion model-based technologies for text-to-image (T2I) and text-to-video (T2V). In recent y…