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Recent advances in 4D generation mainly focus on generating 4D content by distilling pre-trained text or single-view image-conditioned models. It is inconvenient for them to take advantage of various off-the-shelf 3D assets with multi-view…

Computer Vision and Pattern Recognition · Computer Science 2024-09-10 Yanqin Jiang , Chaohui Yu , Chenjie Cao , Fan Wang , Weiming Hu , Jin Gao

Direct mesh editing and deformation are key components in the geometric modeling and animation pipeline. Mesh editing methods are typically framed as optimization problems combining user-specified vertex constraints with a regularizer that…

Graphics · Computer Science 2024-08-05 Tianhao Xie , Eugene Belilovsky , Sudhir Mudur , Tiberiu Popa

Generating animated 3D objects is at the heart of many applications, yet most advanced works are typically difficult to apply in practice because of their limited setup, their long runtime, or their limited quality. We introduce ActionMesh,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-02 Remy Sabathier , David Novotny , Niloy J. Mitra , Tom Monnier

While generative models have excelled at creating static 3D content, the pursuit of systems that understand how objects move and respond to interactions remains a fundamental challenge. Current methods for articulated motion lie at a…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Tianshan Zhang , Zeyu Zhang , Hao Tang

We propose DriveAnyMesh, a method for driving mesh guided by monocular video. Current 4D generation techniques encounter challenges with modern rendering engines. Implicit methods have low rendering efficiency and are unfriendly to…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Yahao Shi , Yang Liu , Yanmin Wu , Xing Liu , Chen Zhao , Jie Luo , Bin Zhou

Recent advances in 4D content generation have attracted increasing attention, yet creating high-quality animated 3D models remains challenging due to the complexity of modeling spatio-temporal distributions and the scarcity of 4D training…

Computer Vision and Pattern Recognition · Computer Science 2025-06-12 Zijie Wu , Chaohui Yu , Fan Wang , Xiang Bai

Triangle meshes play a crucial role in 3D applications for efficient manipulation and rendering. While auto-regressive methods generate structured meshes by predicting discrete vertex tokens, they are often constrained by limited face…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Ruowen Zhao , Junliang Ye , Zhengyi Wang , Guangce Liu , Yiwen Chen , Yikai Wang , Jun Zhu

We present AnimaX, a feed-forward 3D animation framework that bridges the motion priors of video diffusion models with the controllable structure of skeleton-based animation. Traditional motion synthesis methods are either restricted to…

Computer Vision and Pattern Recognition · Computer Science 2025-06-25 Zehuan Huang , Haoran Feng , Yangtian Sun , Yuanchen Guo , Yanpei Cao , Lu Sheng

Controllable character animation is an emerging task that generates character videos controlled by pose sequences from given character images. Although character consistency has made significant progress via reference UNet, another crucial…

Computer Vision and Pattern Recognition · Computer Science 2024-09-11 Jingkai Zhou , Benzhi Wang , Weihua Chen , Jingqi Bai , Dongyang Li , Aixi Zhang , Hao Xu , Mingyang Yang , Fan Wang

Recent advances in deep generative modeling have unlocked unprecedented opportunities for video synthesis. In real-world applications, however, users often seek tools to faithfully realize their creative editing intentions with precise and…

Computer Vision and Pattern Recognition · Computer Science 2025-09-29 Yuhao Liu , Tengfei Wang , Fang Liu , Zhenwei Wang , Rynson W. H. Lau

Generating realistic, context-aware two-person motion conditioned on diverse modalities remains a fundamental challenge for graphics, animation and embodied AI systems. Real-world applications such as VR/AR companions, social robotics and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Prerit Gupta , Shourya Verma , Ananth Grama , Aniket Bera

Video stabilization is essential for improving visual quality of shaky videos. The current video stabilization methods usually take feature trajectories in the background to estimate one global transformation matrix or several…

Computer Vision and Pattern Recognition · Computer Science 2020-06-16 Minda Zhao , Qiang Ling

Traditional 3D content creation tools empower users to bring their imagination to life by giving them direct control over a scene's geometry, appearance, motion, and camera path. Creating computer-generated videos, however, is a tedious…

Computer Vision and Pattern Recognition · Computer Science 2023-12-05 Shengqu Cai , Duygu Ceylan , Matheus Gadelha , Chun-Hao Paul Huang , Tuanfeng Yang Wang , Gordon Wetzstein

We present V2M4, a novel 4D reconstruction method that directly generates a usable 4D mesh animation asset from a single monocular video. Unlike existing approaches that rely on priors from multi-view image and video generation models, our…

Graphics · Computer Science 2025-07-30 Jianqi Chen , Biao Zhang , Xiangjun Tang , Peter Wonka

Creating deformable 3D content has gained increasing attention with the rise of text-to-image and image-to-video generative models. While these models provide rich semantic priors for appearance, they struggle to capture the physical…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Jixuan He , Chieh Hubert Lin , Lu Qi , Ming-Hsuan Yang

3D meshes are a fundamental representation widely used in computer science and engineering. In robotics, they are particularly valuable because they capture objects in a form that aligns directly with how robots interact with the physical…

Robotics · Computer Science 2026-01-01 Qian Wang , Omar Abdellall , Tony Gao , Xiatao Sun , Daniel Rakita

3D hand-mesh reconstruction from RGB images facilitates many applications, including augmented reality (AR). However, this requires not only real-time speed and accurate hand pose and shape but also plausible mesh-image alignment. While…

Computer Vision and Pattern Recognition · Computer Science 2021-09-07 Xiao Tang , Tianyu Wang , Chi-Wing Fu

Creating realistic 3D facial animation is crucial for various applications in the movie production and gaming industry, especially with the burgeoning demand in the metaverse. However, prevalent methods such as blendshape-based approaches…

Computer Vision and Pattern Recognition · Computer Science 2023-08-14 Haoyu Wang , Haozhe Wu , Junliang Xing , Jia Jia

Vessel dynamics simulation is vital in studying the relationship between geometry and vascular disease progression. Reliable dynamics simulation relies on high-quality vascular meshes. Most of the existing mesh generation methods highly…

Image and Video Processing · Electrical Eng. & Systems 2024-12-03 Dengqiang Jia , Xinnian Yang , Xiaosong Xiong , Shijie Huang , Feiyu Hou , Li Qin , Kaicong Sun , Kannie Wai Yan Chan , Dinggang Shen

Creating realistic 3D animation remains a time-consuming and expertise-dependent process, requiring manual rigging, keyframing, and fine-tuning of complex motions. Meanwhile, video diffusion models have recently demonstrated remarkable…

Graphics · Computer Science 2025-12-17 Tianyi Xie , Yunuo Chen , Yaowei Guo , Yin Yang , Bolei Zhou , Demetri Terzopoulos , Ying Jiang , Chenfanfu Jiang
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