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Recent visual generation models have made major progress in photorealism, typography, instruction following, and interactive editing, yet they still struggle with spatial reasoning, persistent state, long-horizon consistency, and causal…

Video generation models internalize physical realism as their prior. Anime deliberately violates physics: smears, impact frames, chibi shifts; and its thousands of coexisting artistic conventions yield no single "physics of anime" a model…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Tencent HY Team

Humanoid control systems have made significant progress in recent years, yet modeling fluent interaction-rich behavior between a robot, its surrounding environment, and task-relevant objects remains a fundamental challenge. This difficulty…

Robotics · Computer Science 2026-05-01 Yanghao Zhou , Jingyu Ma , Yibo Peng , Zhenguo Sun , Yu Bai , Börje F. Karlsson

We introduce a novel method for real-time animation control and generation on rigged models using natural language input. First, we embed a large language model (LLM) in Unity to output structured texts that can be parsed into diverse and…

We present a physics-based character control framework for synthesizing human-scene interactions. Recent advances adopt physics simulation to mitigate artifacts produced by data-driven kinematic approaches. However, existing physics-based…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Liang Pan , Jingbo Wang , Buzhen Huang , Junyu Zhang , Haofan Wang , Xu Tang , Yangang Wang

Recent advancements in image and video synthesis have opened up new promise in generative games. One particularly intriguing application is transforming characters from anime films into interactive, playable entities. This allows players to…

Computer Vision and Pattern Recognition · Computer Science 2025-06-02 Junhao Cheng , Yuying Ge , Yixiao Ge , Jing Liao , Ying Shan

With the rapid advancement of autonomous driving technology, a lack of data has become a major obstacle to enhancing perception model accuracy. Researchers are now exploring controllable data generation using world models to diversify…

Computer Vision and Pattern Recognition · Computer Science 2025-06-27 Xinqing Li , Ruiqi Song , Qingyu Xie , Ye Wu , Nanxin Zeng , Yunfeng Ai

World models have become a central paradigm for learning predictive simulators that support generation, planning, and decision-making. Yet, despite rapid progress in industry-scale interactive video generation, the broader research…

Computer Vision and Pattern Recognition · Computer Science 2026-05-29 Siqiao Huang , Partha Kaushik , Michael Chen , Hengkai Pan , Kaiwen Geng , Omar Chehab , Fernando Moreno-Pino , Max Simchowitz

Recent progress in driving video generation has shown significant potential for enhancing self-driving systems by providing scalable and controllable training data. Although pretrained state-of-the-art generation models, guided by 2D layout…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Yishen Ji , Ziyue Zhu , Zhenxin Zhu , Kaixin Xiong , Ming Lu , Zhiqi Li , Lijun Zhou , Haiyang Sun , Bing Wang , Tong Lu

In this paper, we investigate the use of multimodal large language models (MLLMs) for generating virtual activities, leveraging the integration of vision-language modalities to enable the interpretation of virtual environments. Our approach…

Human-Computer Interaction · Computer Science 2025-11-13 Changyang Li , Qingan Yan , Minyoung Kim , Zhan Li , Yi Xu , Lap-Fai Yu

Video world models have shown immense promise for interactive simulation and entertainment, but current systems still struggle with two important aspects of interactivity: user control over the environment for reproducible, editable…

Artificial Intelligence · Computer Science 2026-04-01 Ryan Po , David Junhao Zhang , Amir Hertz , Gordon Wetzstein , Neal Wadhwa , Nataniel Ruiz

Collaborative driving systems leverage vehicle-to-everything (V2X) communication for multi-agent collaborative perception to enhance driving safety, yet they remain constrained by scarce annotated real-world V2X driving datasets and limited…

Computer Vision and Pattern Recognition · Computer Science 2026-05-29 Yihang Tao , Yu Guo , Senkang Hu , Yanan Ma , Zihan Fang , Sam Kwong , Yuguang Fang

Recent advances in scene-based video generation enable coherent visual narratives from structured prompts, yet a key aspect of storytelling -- character-driven dialogue and speech -- remains underexplored. We present a modular pipeline that…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Taewon Kang , Ming C. Lin

Videos express highly structured spatio-temporal patterns of visual data. A video can be thought of as being governed by two factors: (i) temporally invariant (e.g., person identity), or slowly varying (e.g., activity), attribute-induced…

Computer Vision and Pattern Recognition · Computer Science 2018-03-26 Jiawei He , Andreas Lehrmann , Joseph Marino , Greg Mori , Leonid Sigal

Simulation plays a crucial role in the development of autonomous vehicles (AVs) due to the potential risks associated with real-world testing. Although significant progress has been made in the visual aspects of simulators, generating…

Machine Learning · Computer Science 2024-08-14 Wenhao Ding , Yulong Cao , Ding Zhao , Chaowei Xiao , Marco Pavone

Despite impressive progress in video generation, existing models remain limited to surface-level plausibility, lacking a coherent and unified understanding of the world. Prior approaches typically incorporate only a single form of…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Boming Tan , Xiangdong Zhang , Ning Liao , Yuqing Zhang , Shaofeng Zhang , Xue Yang , Qi Fan , Yanyong Zhang

Current video models fail as world model as they lack fine-graiend control. General-purpose household robots require real-time fine motor control to handle delicate tasks and urgent situations. In this work, we introduce fine-grained…

Computer Vision and Pattern Recognition · Computer Science 2025-10-03 Yichen Li , Antonio Torralba

Animatable 3D assets, defined as geometry equipped with an articulated skeleton and skinning weights, are fundamental to interactive graphics, embodied agents, and animation production. While recent 3D generative models can synthesize…

With captivating visual effects, stylized 3D character animation has gained widespread use in cinematic production, advertising, social media, and the potential development of virtual reality (VR) non-player characters (NPCs). However,…

Human-Computer Interaction · Computer Science 2025-08-05 Xinwu Ye , Jun-Hsiang Yao , Jielin Feng , Shuhong Mei , Xingyu Lan , Siming Chen

This study addresses the challenge that generative models struggle to balance flexibility, stability, and controllability in complex interactive scenarios. It proposes a controllable generation framework for dynamic interactive content…

Human-Computer Interaction · Computer Science 2026-02-27 Rui Liu
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