Vorch-Human is presented, a unified human-centric generation framework built on a dual-stream audio-video diffusion transformer that augments the conventional noisy audio/noisy video interface with clean condition-audio and condition-video token groups and adapts to long-form audio-driven generation by training with cl...
Vorch-Omni is presented, a unified multi-task framework for audio-visual synthesis based on an arbitrary-condition-to-arbitrary-output formulation that supports over 10 tasks, including text-to-video, text-to-audio-video, image- and reference-conditioned generation, temporal extension, audio-driven generation, video tr...
Vorch Team, Xiaoyu Chen, Yang Ding et al.· 0 citations
Vidu S2, which comprises Vidu S2-Avatar, a real-time interactive digital-character model, and Vidu S2-Editing, a real-time video editing model, is presented and the feasibility of real-time spatial video generation for both Vidu S2-Avatar and Vidu S2-Editing is explored.
Jintao Zhang, Kai Jiang, Jin-Tao Chen et al.· 3 citations
Vorch-IR is presented, a unified framework that supports single- and dual-person identity replacement, with optional background replacement, in a single model, and an automatic data construction pipeline that synthesizes paired supervision for all four editing settings is developed.
Yao-Wei Wang, Xiaoyu Chen, Xin Ma et al.· 0 citations
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