activity
20232026
most citedDuolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment

7 citations · 14 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2026

KineWorld: Action-Induced Transport Fields for Embodied World Modeling

Ziying Song, Yuchen Liu, Zhuoran Xu +6

Embodied world models predict the visual consequences of candidate actions before execution. However, existing action-conditioned world models often adopt uniformly weighted visual…

cs.CV2026

Apple-: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence

Runmao Yao, Kairui Hu, Yukang Cao +11

Modern video generation models are increasingly hailed as emerging world models with an internalized grasp of physical law. Yet existing benchmarks largely evaluate physical plausi…

cs.CV2026

Demystifying Video Reasoning

Ruisi Wang, Zhongang Cai, Fanyi Pu +11

Recent advances in video generation have revealed an unexpected phenomenon: diffusion-based video models exhibit non-trivial reasoning capabilities. Prior work attributes this to a…

cs.CV2025

The Quest for Generalizable Motion Generation: Data, Model, and Evaluation

Jing Lin, Ruisi Wang, Junzhe Lu +10

Despite recent advances in 3D human motion generation (MoGen) on standard benchmarks, existing text-to-motion models still face a fundamental bottleneck in their generalization cap…

cs.CV2024

Large Motion Model for Unified Multi-Modal Motion Generation

Mingyuan Zhang, Daisheng Jin, Chenyang Gu +8

Human motion generation, a cornerstone technique in animation and video production, has widespread applications in various tasks like text-to-motion and music-to-dance. Previous wo…

cs.CV2024★ 7 cited

Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment

Li Siyao, Tianpei Gu, Zhitao Yang +5

We introduce a novel task within the field of 3D dance generation, termed dance accompaniment, which necessitates the generation of responsive movements from a dance partner, the "…

cs.CV2024

WHAC: World-grounded Humans and Cameras

Wanqi Yin, Zhongang Cai, Ruisi Wang +9

Estimating human and camera trajectories with accurate scale in the world coordinate system from a monocular video is a highly desirable yet challenging and ill-posed problem. In t…

cs.CV2023★ 7 cited

FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing

Mingyuan Zhang, Huirong Li, Zhongang Cai +3

Text-driven motion generation has achieved substantial progress with the emergence of diffusion models. However, existing methods still struggle to generate complex motion sequence…

cs.CV2023

Digital Life Project: Autonomous 3D Characters with Social Intelligence

Zhongang Cai, Jianping Jiang, Zhongfei Qing +20

In this work, we present Digital Life Project, a framework utilizing language as the universal medium to build autonomous 3D characters, who are capable of engaging in social inter…

cs.CV2023

Story-to-Motion: Synthesizing Infinite and Controllable Character Animation from Long Text

Zhongfei Qing, Zhongang Cai, Zhitao Yang +1

Generating natural human motion from a story has the potential to transform the landscape of animation, gaming, and film industries. A new and challenging task, Story-to-Motion, ar…