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
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
Across seven benchmarks, TimeLens2-2B outperforms all size-matched baselines on every benchmark, while the 4B and 8B variants achieve state-of-the-art performance, surpassing open-source models with up to 397B parameters.