Creative intent in video editing can be expressed through text instructions (e.g.,"remove the people"), image references (e.g., subject appearance), video references (e.g., camera movement), or a combination of the above. We introduce OmniXRef, a unified framework for multimodal multi-reference video editing that allow...
Xiao-Yan Cong, Tian-Yu Wang, Hyeonho Jeong et al.· 0 citations
Distribution matching distillation (DMD) provides a general framework for few-step diffusion generation, but its modern text-to-image instantiations have been developed primarily around latent diffusion. It therefore overlooks key properties and design opportunities of native RGB. We revisit two DMD interfaces for pixe...
Xin Lin, Zhi-Fei Zhang, Yu-Qian Zhou et al.· 0 citations
This work introduces Latent Dynamics Reasoning (LDR), the first video world model that extrapolates learned dynamics beyond its training distribution and can even generalize under severe shift.
Haodong Li, Shao-Teng Liu, Tian-Yu Wang et al.· 0 citations
Chimera, a hybrid visual diffusion backbone with a principled scaling recipe that combines Kimi Delta Attention for long-context state tracking with O(N) complexity, interleaved Multi-head Latent Attention (MLA) for direct global interaction, and modality-aware short convolutions for local spatiotemporal context is int...
Chongjian Ge, Hanwen Jiang, Tianyu Wang et al.· arXiv.org· 2 citations
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