5 papers
LoomVideo: Unifying Multimodal Inputs into Video Generation and Editing
Jianzong Wu, Hao Lian, Jiongfan Yang +12
Developing unified video generation and editing models capable of interpreting interleaved multimodal inputs is a promising yet challenging frontier field. Existing unified framewo…
Diffusion-APO: Trajectory-Aware Direct Preference Alignment for Video Diffusion Transformers
Jingyuan Zhu, Biaolong Chen, Le Zhang +3
Efficiently aligning large-scale video diffusion models with human intent requires a scalable and trajectory-aware pathway that bridges the inherent discrepancy between training no…
ProFashion: Prototype-guided Fashion Video Generation with Multiple Reference Images
Xianghao Kong, Qiaosong Qi, Yuanbin Wang +3
Fashion video generation aims to synthesize temporally consistent videos from reference images of a designated character. Despite significant progress, existing diffusion-based met…
Denoising as Path Planning: Training-Free Acceleration of Diffusion Models with DPCache
Bowen Cui, Yuanbin Wang, Huajiang Xu +6
Diffusion models have demonstrated remarkable success in image and video generation, yet their practical deployment remains hindered by the substantial computational overhead of mu…
Does Hearing Help Seeing? Investigating Audio-Video Joint Denoising for Video Generation
Jianzong Wu, Hao Lian, Dachao Hao +5
Recent audio-video generative systems suggest that coupling modalities benefits not only audio-video synchrony but also the video modality itself. We pose a fundamental question: D…