metadata
license: mit
pipeline_tag: image-to-video
library_name: diffusers
TesserAct: Learning 4D Embodied World Models
Haoyu Zhen*, Qiao Sun*, Hongxin Zhang, Junyan Li, Siyuan Zhou, Yilun Du, Chuang Gan
Paper PDF | Project Page | Model on Hugging Face | Code
We propose TesserAct, the 4D Embodied World Model, which takes input images and text instruction to generate RGB, depth, and normal videos, reconstructing a 4D scene and predicting actions.