Instruction-driven image editing has reached native 4K, yet how such editors are trained remains undisclosed, and pretraining one from scratch is beyond most teams. The task itself compounds the difficulty: a single end-to-end editor cannot make precise parametric adjustments, match specialized experts, or interpret th...
Shan-Yan Guan, Shi-Yu Li, Xin Li et al.· 0 citations
Long-form video understanding often involves multiple questions about different aspects of the same recording. Yet existing video agents typically process each question through an isolated tool-use trajectory. This repeatedly restarts video exploration and memory construction, missing opportunities to acquire evidence...
Run-Quan Gui, Han-Zhu Chen, Ze-Hao Wang et al.· 0 citations
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
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
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