activity
20202026
most citedInteractive Character Control with Auto-Regressive Motion Diffusion Models

3 citations · 9 across the 10 of their papers we have counts for

collaborators

11 papers

cs.RO2026

EgoExplorer: A Vision-Motion-Touch Observatory for Human Loco-Manipulation In Situ

Yunsong Zhou, Xuekun Jiang, Haiqi Shen +11

Learning humanoid loco-manipulation from human demonstrations rests on observing how locomotion, posture, and object interaction evolve together as tasks unfold. Scaling collection…

cs.AI2026

GAUGE: A Measurement-Grounded Benchmark for Physical Fidelity in Simulation Engines and Video World Models

Shuai Wang, Yaxin Feng, Xuekun Jiang +12

Physics engines facilitate large-scale training and evaluation for embodied intelligence, while generative video world models are emerging as implicit simulators of future states a…

cs.RO2026

EBench: Elemental Diagnosis of Generalist Mobile Manipulation Policies

Ning Gao, Jinliang Zheng, Xing Gao +22

We present EBench, a simulation benchmark that diagnoses generalist mobile manipulation policies beyond a single success-rate scalar. EBench comprises 26 diverse and challenging ma…

cs.RO2026

SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds

Yunsong Zhou, Hangxu Liu, Xuekun Jiang +12

Robotic manipulation with deformable objects represents a data-intensive regime in embodied learning, where shape, contact, and topology co-evolve in ways that far exceed the varia…

cs.RO2025

InternData-A1: Pioneering High-Fidelity Synthetic Data for Pre-training Generalist Policy

Yang Tian, Yuyin Yang, Yiman Xie +13

Recent works explore how real and synthetic data contribute to Vision-Language-Action (VLA) models' generalization. While current VLA models have shown the strong effectiveness of…

cs.CV2024

CinePreGen: Camera Controllable Video Previsualization via Engine-powered Diffusion

Yiran Chen, Anyi Rao, Xuekun Jiang +5

With advancements in video generative AI models (e.g., SORA), creators are increasingly using these techniques to enhance video previsualization. However, they face challenges with…

cs.CV2023★ 1 cited

Cinematic Behavior Transfer via NeRF-based Differentiable Filming

Xuekun Jiang, Anyi Rao, Jingbo Wang +2

In the evolving landscape of digital media and video production, the precise manipulation and reproduction of visual elements like camera movements and character actions are highly…

cs.CV2023★ 3 cited

Interactive Character Control with Auto-Regressive Motion Diffusion Models

Yi Shi, Jingbo Wang, Xuekun Jiang +3

Real-time character control is an essential component for interactive experiences, with a broad range of applications, including physics simulations, video games, and virtual reali…

cs.GR2023★ 2 cited

Dynamic Storyboard Generation in an Engine-based Virtual Environment for Video Production

Anyi Rao, Xuekun Jiang, Yuwei Guo +5

Amateurs working on mini-films and short-form videos usually spend lots of time and effort on the multi-round complicated process of setting and adjusting scenes, plots, and camera…

cs.CV2022★ 1 cited

Temporal and Contextual Transformer for Multi-Camera Editing of TV Shows

Anyi Rao, Xuekun Jiang, Sichen Wang +7

The ability to choose an appropriate camera view among multiple cameras plays a vital role in TV shows delivery. But it is hard to figure out the statistical pattern and apply inte…

cs.CV2020★ 2 cited

A Unified Framework for Shot Type Classification Based on Subject Centric Lens

Anyi Rao, Jiaze Wang, Linning Xu +4

Shots are key narrative elements of various videos, e.g. movies, TV series, and user-generated videos that are thriving over the Internet. The types of shots greatly influence how…