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Recent advances in dance generation have enabled the automatic synthesis of 3D dance motions. However, existing methods still face significant challenges in simultaneously achieving high realism, precise dance-music synchronization, diverse…

Recent advancements in video generation models have significantly improved their ability to follow text prompts. However, the customization of dynamic visual effects, defined as temporally evolving and appearance-driven visual phenomena…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Rui Zhao , Mike Zheng Shou

Trajectory visualization and animation play critical roles in robotics research. However, existing data visualization and animation tools often lack flexibility, scalability, and versatility, resulting in limited capability to fully explore…

Robotics · Computer Science 2023-10-19 Yunlong Song , Davide Scaramuzza

Text-driven human motion synthesis has showcased its potential for revolutionizing motion design in the movie and game industry. Existing methods often rely on 3D motion capture data, which requires special setups, resulting in high costs…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Ruoxi Guo , Huaijin Pi , Zehong Shen , Qing Shuai , Zechen Hu , Zhumei Wang , Yajiao Dong , Ruizhen Hu , Taku Komura , Sida Peng , Xiaowei Zhou

Artificial General Intelligence (AGI) requires comprehensive understanding and generation capabilities for a variety of tasks spanning different modalities and functionalities. Integrative AI is one important direction to approach AGI,…

Computation and Language · Computer Science 2023-05-24 Yuwei Fang , Mahmoud Khademi , Chenguang Zhu , Ziyi Yang , Reid Pryzant , Yichong Xu , Yao Qian , Takuya Yoshioka , Lu Yuan , Michael Zeng , Xuedong Huang

Generative AI has made rapid advancements in recent years, achieving unprecedented capabilities in multimodal understanding and code generation. This can enable a new paradigm of front-end development in which multimodal large language…

Computation and Language · Computer Science 2025-02-11 Chenglei Si , Yanzhe Zhang , Ryan Li , Zhengyuan Yang , Ruibo Liu , Diyi Yang

People may perform diverse gestures affected by various mental and physical factors when speaking the same sentences. This inherent one-to-many relationship makes co-speech gesture generation from audio particularly challenging.…

Computer Vision and Pattern Recognition · Computer Science 2023-01-18 Jing Li , Di Kang , Wenjie Pei , Xuefei Zhe , Ying Zhang , Linchao Bao , Zhenyu He

Diffusion-based video motion customization facilitates the acquisition of human motion representations from a few video samples, while achieving arbitrary subjects transfer through precise textual conditioning. Existing approaches often…

Computer Vision and Pattern Recognition · Computer Science 2026-04-29 Shuai Tan , Biao Gong , Yujie Wei , Shiwei Zhang , Zhuoxin Liu , Ke Ma , Yan Wang , Kecheng Zheng , Xing Zhu , Yujun Shen , Hengshuang Zhao

Codec Avatars are a recent class of learned, photorealistic face models that accurately represent the geometry and texture of a person in 3D (i.e., for virtual reality), and are almost indistinguishable from video. In this paper we describe…

Computer Vision and Pattern Recognition · Computer Science 2020-08-13 Alexander Richard , Colin Lea , Shugao Ma , Juergen Gall , Fernando de la Torre , Yaser Sheikh

Text-to-motion synthesis is a crucial task in computer vision. Existing methods are limited in their universality, as they are tailored for single-person or two-person scenarios and can not be applied to generate motions for more…

Computer Vision and Pattern Recognition · Computer Science 2024-05-27 Ke Fan , Junshu Tang , Weijian Cao , Ran Yi , Moran Li , Jingyu Gong , Jiangning Zhang , Yabiao Wang , Chengjie Wang , Lizhuang Ma

We present CoMoGen, a controllable video generation framework that generates realistic interactive dynamics from a single binary mask sequence conditioned on an input image. CoMoGen introduces a lightweight MaskAdapter that encodes binary…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 Adil Meric , Lin Geng Foo , Mert Kiray , Benjamin Busam , Rishabh Dabral , Christian Theobalt

Image-to-code generation tests whether a vision-language model (VLM) can recover the structure of an image enough to express it as executable code. Existing benchmarks either focus on narrow visual domains, depend on paired executable…

Computer Vision and Pattern Recognition · Computer Science 2026-05-13 Ajay Vikram Periasami , Junlin Wang , Bhuwan Dhingra

Co-speech gesture is crucial for human-machine interaction and digital entertainment. While previous works mostly map speech audio to human skeletons (e.g., 2D keypoints), directly generating speakers' gestures in the image domain remains…

Computer Vision and Pattern Recognition · Computer Science 2022-12-06 Xian Liu , Qianyi Wu , Hang Zhou , Yuanqi Du , Wayne Wu , Dahua Lin , Ziwei Liu

Automating the transformation of user interface (UI) designs into front-end code holds significant promise for accelerating software development and democratizing design workflows. While multimodal large language models (MLLMs) can…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Yilei Jiang , Yaozhi Zheng , Yuxuan Wan , Jiaming Han , Qunzhong Wang , Michael R. Lyu , Xiangyu Yue

We present I2V3D, a novel framework for animating static images into dynamic videos with precise 3D control, leveraging the strengths of both 3D geometry guidance and advanced generative models. Our approach combines the precision of a…

Computer Vision and Pattern Recognition · Computer Science 2025-03-14 Zhiyuan Zhang , Dongdong Chen , Jing Liao

Touch data from mobile devices are collected at scale but reveal little about the interactions that produce them. While biomechanical simulations can illuminate motor control processes, they have not yet been developed for touch…

Human-Computer Interaction · Computer Science 2026-02-06 Michał Patryk Miazga , Hannah Bussmann , Antti Oulasvirta , Patrick Ebel

Code generation problems differ from common natural language problems - they require matching the exact syntax of the target language, identifying happy paths and edge cases, paying attention to numerous small details in the problem spec,…

Machine Learning · Computer Science 2024-01-17 Tal Ridnik , Dedy Kredo , Itamar Friedman

Character animation in real-world scenarios necessitates a variety of constraints, such as trajectories, key-frames, interactions, etc. Existing methodologies typically treat single or a finite set of these constraint(s) as separate control…

Computer Vision and Pattern Recognition · Computer Science 2024-05-30 Hanchao Liu , Xiaohang Zhan , Shaoli Huang , Tai-Jiang Mu , Ying Shan

Text-guided human body animation has advanced rapidly, yet facial animation lags due to the scarcity of well-annotated, text-paired facial corpora. To close this gap, we leverage foundation generative models to synthesize a large, balanced…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Luchuan Song , Pinxin Liu , Haiyang Liu , Zhenchao Jin , Yolo Yunlong Tang , Zichong Xu , Susan Liang , Jing Bi , Jason J Corso , Chenliang Xu

Transforming a graphical user interface screenshot created by a designer into computer code is a typical task conducted by a developer in order to build customized software, websites, and mobile applications. In this paper, we show that…

Machine Learning · Computer Science 2017-09-20 Tony Beltramelli