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Xihui Liu
@XihuiLiu
Assistant Professor @ HKU. Previous Postdoc @ UC Berkeley and PhD @ CUHK MMLab
가입 August 2015
216 팔로잉 중    2.2K 팬
🎮 We’re open-sourcing Multics: Generative Multi-Player World Model with Hierarchical Communication! Generating videos for multiple players requires each player to follow their own controls while staying consistent with others. As player counts grow, efficient communication and robustness to interference become key challenges. Existing approaches face trade-offs: • Fully-connected communication incurs quadratic attention costs as more players join. • Centralized communication mixes all players’ features in a shared representation, causing interference and competition for communication capacity. Multics introduces hierarchical communication across player, group, and global levels. Group-level representations aggregate information from related players, while global tokens enable cross-group communication. Shared group-token parameters let the same communication module support more players—without retraining or adding parameters. Two key highlights: ✨ Robust multi-player generation: improved cross-player consistency, player-specific action and camera control, and interference robustness. 📈 Train on fewer, generate for more: trained with 4 players, Multics generalizes to 6, 8, and 10 players while keeping attention costs manageable. Paper, code, and model weights are now available! 🌐 Project: 🤗 Paper: 💻 Code: 📦 Model:
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