VideoTok4D, a novel 4D-aware video tokenizer for compact world representation that achieves state-of-the-art performance while requiring up to 4 orders of magnitude less storage than dense 4D representations, and substantially shortens diffusion sequences, enabling efficient generation.
Xin-Yi Chen, Han-Xin Zhu, Xi-Jun Wang et al.· 1 citation
AuK, an open-source foundational model that unifies speech generation and editing through a common interface of natural-language instructions and audio context, is introduced and leading performance on zero-shot and instruction-controlled speech generation and general instruction-guided editing is demonstrated.
Zi-Yang Ma, Zhi-Kang Niu, Wen-Ming Tu et al.· 3 citations· ⚡1
Text-driven instruction-based video editing in complex scenes remains challenging: purely textual prompts often fail to capture precise spatial relationships and physical constraints, resulting in target ambiguity and physically implausible outcomes. To address this, we propose a plan--guide--edit framework that explic...
Sen Liang, Fengbin Guan, Youliang Zhang et al.· 5 citations
An architecture-aware inference stack that combines guarded W8A8 and fused operators, padded-text compaction, and modality-aware sparse attention while preserving dense cross-modal and text-conditioning paths is developed.
Xiao-Da Yang, Yu-Xian Liu, Kaiwen Zheng et al.· 0 citations
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