19 citations · 20 across the 5 of their papers we have counts for
5 papers
Word2Minecraft: Generating 3D Game Levels through Large Language Models
Shuo Huang, Muhammad Umair Nasir, Steven James +1
We present Word2Minecraft, a system that leverages large language models to generate playable game levels in Minecraft based on structured stories. The system transforms narrative…
PlacidDreamer: Advancing Harmony in Text-to-3D Generation
Shuo Huang, Shikun Sun, Zixuan Wang +6
Recently, text-to-3D generation has attracted significant attention, resulting in notable performance enhancements. Previous methods utilize end-to-end 3D generation models to init…
Generating Redstone Style Cities in Minecraft
Shuo Huang, Chengpeng Hu, Julian Togelius +1
Procedurally generating cities in Minecraft provides players more diverse scenarios and could help understand and improve the design of cities in other digital worlds and the real…
AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusion
Shuo Huang, Zongxin Yang, Liangting Li +2
Large-scale pre-trained vision-language models allow for the zero-shot text-based generation of 3D avatars. The previous state-of-the-art method utilized CLIP to supervise neural i…
Shuffled Autoregression For Motion Interpolation
Shuo Huang, Jia Jia, Zongxin Yang +4
This work aims to provide a deep-learning solution for the motion interpolation task. Previous studies solve it with geometric weight functions. Some other works propose neural net…