English
Related papers

Related papers: RSMT: Real-time Stylized Motion Transition for Cha…

200 papers

Semantic segmentation networks require large amounts of pixel-level annotated data, which are costly to obtain for real-world images. Computer graphics engines can generate synthetic images alongside their ground-truth annotations. However,…

Computer Vision and Pattern Recognition · Computer Science 2026-02-04 Estelle Chigot , Thomas Oberlin , Manon Huguenin , Dennis Wilson

Our animation studio has developed a practical style transfer pipeline for creating stylized 3D animation, which is suitable for complex real-world production. This paper presents the insights from our development process, where we explored…

Graphics · Computer Science 2024-11-01 Hideki Todo , Yuki Koyama , Kunihiro Sakai , Akihiro Komiya , Jun Kato

Cross-modal object tracking (CMOT) is an emerging task that maintains target consistency while the video stream switches between different modalities, with only one modality available in each frame, mostly focusing on RGB-Near Infrared…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Boyue Xu , Ruichao Hou , Tongwei Ren , Dongming Zhou , Gangshan Wu , Jinde Cao

Tracking multiple objects in videos relies on modeling the spatial-temporal interactions of the objects. In this paper, we propose a solution named TransMOT, which leverages powerful graph transformers to efficiently model the spatial and…

Computer Vision and Pattern Recognition · Computer Science 2021-04-06 Peng Chu , Jiang Wang , Quanzeng You , Haibin Ling , Zicheng Liu

Mixing style transfer automates the generation of a multitrack mix for a given set of tracks by inferring production attributes from a reference song. However, existing systems for mixing style transfer are limited in that they often…

Audio and Speech Processing · Electrical Eng. & Systems 2024-07-15 Soumya Sai Vanka , Christian Steinmetz , Jean-Baptiste Rolland , Joshua Reiss , George Fazekas

Neural networks training on edge terminals is essential for edge AI computing, which needs to be adaptive to evolving environment. Quantised models can efficiently run on edge devices, but existing training methods for these compact models…

Machine Learning · Computer Science 2021-03-29 Tian Huang , Tao Luo , Ming Yan , Joey Tianyi Zhou , Rick Goh

In large-scale data processing scenarios, data often arrive in sequential streams generated by complex systems that exhibit drifting distributions and time-varying system parameters. This nonstationarity challenges theoretical analysis, as…

Machine Learning · Computer Science 2026-02-13 Yifei Jin , Xin Zheng , Lei Guo

In the field of 3D dynamic scene reconstruction, how to balance model convergence rate and rendering quality has long been a critical challenge that urgently needs to be addressed, particularly in high-precision modeling of scenes with…

Computer Vision and Pattern Recognition · Computer Science 2026-01-12 Nengbo Lu , Minghua Pan , Shaohua Sun , Yizhou Liang

The production of animation is a resource intensive process in game companies. Therefore, techniques to synthesize animations have been developed. However, these procedural techniques offer limited adaptability by animation artists. In…

In this paper, we address the challenge of generating temporally consistent videos with motion guidance. While many existing methods depend on additional control modules or inference-time fine-tuning, recent studies suggest that effective…

Computer Vision and Pattern Recognition · Computer Science 2025-01-14 Xinyu Zhang , Zicheng Duan , Dong Gong , Lingqiao Liu

The essence of a video lies in its dynamic motions, including character actions, object movements, and camera movements. While text-to-video generative diffusion models have recently advanced in creating diverse contents, controlling…

Computer Vision and Pattern Recognition · Computer Science 2024-01-04 Yuxin Zhang , Fan Tang , Nisha Huang , Haibin Huang , Chongyang Ma , Weiming Dong , Changsheng Xu

Robotic manipulation in dynamic environments often requires seamless transitions between different grasp types to maintain stability and efficiency. However, achieving smooth and adaptive grasp transitions remains a challenge, particularly…

Robotics · Computer Science 2025-09-24 Kuanqi Cai , Chunfeng Wang , Zeqi Li , Haowen Yao , Weinan Chen , Luis Figueredo , Aude Billard , Arash Ajoudani

Style transfer TTS has shown impressive performance in recent years. However, style control is often restricted to systems built on expressive speech recordings with discrete style categories. In practical situations, users may be…

Sound · Computer Science 2023-06-02 Guanghou Liu , Yongmao Zhang , Yi Lei , Yunlin Chen , Rui Wang , Zhifei Li , Lei Xie

This paper introduces SFSORT, the world's fastest multi-object tracking system based on experiments conducted on MOT Challenge datasets. To achieve an accurate and computationally efficient tracker, this paper employs a…

Computer Vision and Pattern Recognition · Computer Science 2024-04-12 M. M. Morsali , Z. Sharifi , F. Fallah , S. Hashembeiki , H. Mohammadzade , S. Bagheri Shouraki

Music-to-dance generation aims to synthesize human dance motion conditioned on musical input. Despite recent progress, significant challenges remain due to the semantic gap between music and dance motion, as music offers only abstract cues,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Qing Wang , Xiaohang Yang , Yilan Dong , Naveen Raj Govindaraj , Gregory Slabaugh , Shanxin Yuan

We introduce Masked Trajectory Models (MTM) as a generic abstraction for sequential decision making. MTM takes a trajectory, such as a state-action sequence, and aims to reconstruct the trajectory conditioned on random subsets of the same…

Machine Learning · Computer Science 2023-05-05 Philipp Wu , Arjun Majumdar , Kevin Stone , Yixin Lin , Igor Mordatch , Pieter Abbeel , Aravind Rajeswaran

Can we make virtual characters in a scene interact with their surrounding objects through simple instructions? Is it possible to synthesize such motion plausibly with a diverse set of objects and instructions? Inspired by these questions,…

Computer Vision and Pattern Recognition · Computer Science 2023-02-28 Anindita Ghosh , Rishabh Dabral , Vladislav Golyanik , Christian Theobalt , Philipp Slusallek

Due to the high diversity of image styles, the scalability to various styles plays a critical role in real-world applications. To accommodate a large amount of styles, previous multi-style transfer approaches rely on enlarging the model…

Computer Vision and Pattern Recognition · Computer Science 2025-03-27 Hongda Liu , Longguang Wang , Weijun Guan , Ye Zhang , Yulan Guo

Music is a form of expression that often requires interaction between players. If one wishes to interact in such a musical way with a computer, it is necessary for the machine to be able to interpret the input given by the human to find its…

Sound · Computer Science 2022-09-01 Filippo Carnovalini , Antonio Rodà

Robots operating in human environments need various skills, like slow and fast walking, turning, side-stepping, and many more. However, building robot controllers that can exhibit such a large range of behaviors is a challenging problem…

Robotics · Computer Science 2022-02-28 Tianyu Li , Jungdam Won , Sehoon Ha , Akshara Rai
‹ Prev 1 8 9 10 Next ›