Multiplayer Interactive World Models with Representation Autoencoders
A large-scale multiplayer world model trained on extensive gameplay data demonstrates stable long-horizon rollouts in a complex physics-based environment while maintaining coherenc…
Hugging Face · Daily Papers
·Anthony Hu, Václav Volhejn
·
·▲ 5 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Anthony Hu, Václav Volhejn, Adrien Ramanana Rahary, Chris Mulder, Aditya Makkar, Amélie Royer
- 5 upvotes da comunidade
- Temas: world model, latent diffusion model, multiplayer conditioning, video codec, generative objective, rollouts
Resumo
Resumo original (em inglês), extraído do paper:
A large-scale multiplayer world model trained on extensive gameplay data demonstrates stable long-horizon rollouts in a complex physics-based environment while maintaining coherence across multiple agents' actions.Onde ler
// relacionados
Leia também
Editorial
EditBridge: edição de imagem em 4K sem inventar o que não estava lá
Blog
Coarse-to-Fine Multi-Resolution Diffusion Models for Trajectory Generation in Urban Systems
Blog
DiSCO: Defending text-to-image generation through distribution-guided contrastive prompt optimization
Blog