Visual representations are largely developed for understanding, yet what makes them useful for generation remains unclear. We study this question in pixel diffusion transformers and uncover two key insights. First, better representation quality does not necessarily translate into greater generative utility, as external...
Zi-Hao Pan, Meng-Ting Chen, Cheng Shi et al.· 0 citations
Transforming multimodal sources into condensed and structured media outputs can be fundamentally conceptualized as a long-horizon agentic process centered on a model-harness system. While an ideal harness system should align with human design priors and accumulate reusable experience through empirical exploration to dr...
Yaxin Luo, Hao-Bin Jiang, Jialv Zou et al.· 6 citations
The Dual-Latent World Model is introduced, which separates local execution and long-range planning through distinct state representations and dynamics models and proposes Long-Horizon Representation Learning with Weighted Rollout (LoRe), which supervises self-generated predictions at both levels.
De-Ling Zhao, Zheng-Rong Yue, Shao-Bin Zhuang et al.· 0 citations
VideoCoCo, an agentic dual-engine framework in which executable Blender code serves as a process-level chain of thought, demonstrates that executable code provides an effective, controllable, and inspectable intermediate representation for physically consistent video generation.
Haodong Li, Tianfei Ren, Xiaoxiao Ma et al.· arXiv.org· 8 citations
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