works on

From the 3 of 22 linked papers with an AI index.

collaborators

22 papers

cs.CV2026

SCULPT: Subtractive Composition for 3D Part Generation

Sikuang Li, Chen Yang, Jiemin Fang +5

Part-aware 3D generation aims to create digital assets that are coherent as complete objects while exposing structural parts for editing, material assignment, animation, and reuse.…

cs.CV2026

Sekai2: From World Exploration to Interactive World Modeling

Kang He, Wenshuo Peng, Zihui Gao +3

Video world models must capture how scenes evolve over time and across viewpoints. Training them for long-horizon generation and camera control therefore benefits from long videos…

cs.CV2026

MASS: Multiplayer World Models with Authoritative Shared State

Ziqi Cai, Siqi Yang, Yimu Wang +6

Current video world models struggle in multiplayer environments because they entangle world state with view-dependent visual latents, leading to redundant compute, view inconsisten…

cs.CV2026

HelloWorld: Enabling Socially Interactive Characters in Video World Models

Liangyang Ouyang, Ruicong Liu, Xuangeng Chu +2

Despite the remarkable recent progress of video world models, social interaction between users and the characters within these worlds remains unsupported. To fill this gap, we pres…

cs.CV2026

GROVE: Growing and Reasoning over Temporally Stratified Memory from Streaming Video Experience

Sitong Gong, Caixin Kang, Tianyu Yan +7

A wearable assistant should both answer questions about its visual history and recognize when that history is useful to the present situation. Existing video-memory systems primari…

cs.CV2026

ShadowDancer: Teaching Video World Models Any Action by Learning Unified Dynamics Representations from a Video and Its Shadow

Jin Cao, Zian Meng, Kaipeng Zhang

ShadowDancer introduces a method for precise, frame‑level control of video world models by learning unified dynamics representations from paired videos that share the same underlyi…