DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

7 November 2024

Papers citing "DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning"

6 / 6 papers shown

Title
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions Qingwen Bu Y. Yang Jisong Cai Shenyuan Gao Guanghui Ren Maoqing Yao Ping Luo Hongyang Li 22 0 0 09 May 2025
Learning Neural Control Barrier Functions from Offline Data with Conservatism Ihab Tabbara Hussein Sibai OffRL 54 0 0 01 May 2025
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures Junwon Seo Kensuke Nakamura Andrea V. Bajcsy 48 0 0 01 May 2025
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation Wenxuan Li Hang Zhao Zhiyuan Yu Yu Du Qin Zou Ruizhen Hu K. Xu SSL 71 1 0 23 Apr 2025
AdaWorld: Learning Adaptable World Models with Latent Actions Shenyuan Gao Siyuan Zhou Yilun Du Jun Zhang Chuang Gan VGen 54 3 0 24 Mar 2025
Navigation World Models Amir Bar G. Zhou Danny Tran Trevor Darrell Yann LeCun VGen EgoV 80 13 0 04 Dec 2024