Image-to-Video
video
world-model
interactive-world-model
lora
diffusion
action-conditioning
game-world-model
DANNY621 commited on
Commit
cb1a1fe
·
verified ·
1 Parent(s): d4757ed

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -0
README.md CHANGED
@@ -18,6 +18,8 @@ tags:
18
 
19
  # 🎮 H3-World: Turning Language Understanding into World Control
20
 
 
 
21
  H3-World is the **first interactive world model** built on [MiniMax-H3](https://huggingface.co/MiniMaxAI/MiniMax-H3). Given an initial frame and keyboard controls, it generates action-controlled video with coordinated character and camera motion.
22
 
23
  H3-World converts keyboard states into one language instruction per future video latent and uses directed attention routing to bind each instruction to its corresponding latent interval. Using 8,000 gameplay clips from [ABot-World-Explorer-500h](https://huggingface.co/datasets/acvlab/ABot-World-Explorer-500h), it learns 65.6M LoRA parameters, only 0.199% of the 33B MiniMax-H3 backbone.
 
18
 
19
  # 🎮 H3-World: Turning Language Understanding into World Control
20
 
21
+ <img src="teaser.png" alt="H3-World teaser" width="100%">
22
+
23
  H3-World is the **first interactive world model** built on [MiniMax-H3](https://huggingface.co/MiniMaxAI/MiniMax-H3). Given an initial frame and keyboard controls, it generates action-controlled video with coordinated character and camera motion.
24
 
25
  H3-World converts keyboard states into one language instruction per future video latent and uses directed attention routing to bind each instruction to its corresponding latent interval. Using 8,000 gameplay clips from [ABot-World-Explorer-500h](https://huggingface.co/datasets/acvlab/ABot-World-Explorer-500h), it learns 65.6M LoRA parameters, only 0.199% of the 33B MiniMax-H3 backbone.