English
Related papers

Related papers: AnimaMimic: Imitating 3D Animation from Video Prio…

200 papers

This paper describes how to obtain accurate 3D body models and texture of arbitrary people from a single, monocular video in which a person is moving. Based on a parametric body model, we present a robust processing pipeline achieving 3D…

Computer Vision and Pattern Recognition · Computer Science 2018-04-17 Thiemo Alldieck , Marcus Magnor , Weipeng Xu , Christian Theobalt , Gerard Pons-Moll

We present a method to build animatable dog avatars from monocular videos. This is challenging as animals display a range of (unpredictable) non-rigid movements and have a variety of appearance details (e.g., fur, spots, tails). We develop…

Computer Vision and Pattern Recognition · Computer Science 2024-03-27 Remy Sabathier , Niloy J. Mitra , David Novotny

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 DIMO, a generative approach capable of generating diverse 3D motions for arbitrary objects from a single image. The core idea of our work is to leverage the rich priors in well-trained video models to extract the common motion…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Linzhan Mou , Jiahui Lei , Chen Wang , Lingjie Liu , Kostas Daniilidis

We introduce PhysMotion, a novel framework that leverages principled physics-based simulations to guide intermediate 3D representations generated from a single image and input conditions (e.g., applied force and torque), producing…

Computer Vision and Pattern Recognition · Computer Science 2024-12-02 Xiyang Tan , Ying Jiang , Xuan Li , Zeshun Zong , Tianyi Xie , Yin Yang , Chenfanfu Jiang

Recent diffusion-based human image animation techniques have demonstrated impressive success in synthesizing videos that faithfully follow a given reference identity and a sequence of desired movement poses. Despite this, there are still…

Computer Vision and Pattern Recognition · Computer Science 2024-06-04 Xiang Wang , Shiwei Zhang , Changxin Gao , Jiayu Wang , Xiaoqiang Zhou , Yingya Zhang , Luxin Yan , Nong Sang

Much progress has been made in reconstructing garments from an image or a video. However, none of existing works meet the expectations of digitizing high-quality animatable dynamic garments that can be adjusted to various unseen poses. In…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Xiongzheng Li , Jinsong Zhang , Yu-Kun Lai , Jingyu Yang , Kun Li

Achieving real-time physics-based animation that generalizes across diverse 3D shapes and discretizations remains a fundamental challenge. We introduce PhysSkin, a physics-informed framework that addresses this challenge. In the spirit of…

Over recent years, diffusion models have facilitated significant advancements in video generation. Yet, the creation of face-related videos still confronts issues such as low facial fidelity, lack of frame consistency, limited editability…

Computer Vision and Pattern Recognition · Computer Science 2023-12-22 Linze Li , Sunqi Fan , Hengjun Pu , Zhaodong Bing , Yao Tang , Tianzhu Ye , Tong Yang , Liangyu Chen , Jiajun Liang

In this work, we introduce Unique3D, a novel image-to-3D framework for efficiently generating high-quality 3D meshes from single-view images, featuring state-of-the-art generation fidelity and strong generalizability. Previous methods based…

Computer Vision and Pattern Recognition · Computer Science 2024-10-29 Kailu Wu , Fangfu Liu , Zhihan Cai , Runjie Yan , Hanyang Wang , Yating Hu , Yueqi Duan , Kaisheng Ma

Motion in-betweening, a fundamental task in character animation, consists of generating motion sequences that plausibly interpolate user-provided keyframe constraints. It has long been recognized as a labor-intensive and challenging…

Computer Vision and Pattern Recognition · Computer Science 2024-05-27 Setareh Cohan , Guy Tevet , Daniele Reda , Xue Bin Peng , Michiel van de Panne

Humanoid robots are envisioned to adapt demonstrated motions to diverse real-world conditions while accurately preserving motion patterns. Existing motion prior approaches enable well adaptability with a few motions but often sacrifice…

Diffusion models have achieved great progress in image animation due to powerful generative capabilities. However, maintaining spatio-temporal consistency with detailed information from the input static image over time (e.g., style,…

Computer Vision and Pattern Recognition · Computer Science 2024-07-24 Xin Ma , Yaohui Wang , Gengyun Jia , Xinyuan Chen , Yuan-Fang Li , Cunjian Chen , Yu Qiao

Fast and light-weight methods for animating 3D characters are desirable in various applications such as computer games. We present a learning-based approach to enhance skinning-based animations of 3D characters with vivid secondary motion…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Mianlun Zheng , Yi Zhou , Duygu Ceylan , Jernej Barbič

Physically-based simulation is a powerful approach for 3D facial animation as the resulting deformations are governed by physical constraints, allowing to easily resolve self-collisions, respond to external forces and perform realistic…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Lingchen Yang , Gaspard Zoss , Prashanth Chandran , Markus Gross , Barbara Solenthaler , Eftychios Sifakis , Derek Bradley

Despite the growing accessibility of skeletal motion data, integrating it for animating character meshes remains challenging due to diverse configurations of both skeletons and meshes. Specifically, the body scale and bone lengths of the…

Graphics · Computer Science 2025-03-19 Seokhyeon Hong , Soojin Choi , Chaelin Kim , Sihun Cha , Junyong Noh

We present DreamHuman, a method to generate realistic animatable 3D human avatar models solely from textual descriptions. Recent text-to-3D methods have made considerable strides in generation, but are still lacking in important aspects.…

Computer Vision and Pattern Recognition · Computer Science 2023-06-16 Nikos Kolotouros , Thiemo Alldieck , Andrei Zanfir , Eduard Gabriel Bazavan , Mihai Fieraru , Cristian Sminchisescu

Dynamic 3D interaction has been attracting a lot of attention recently. However, creating such 4D content remains challenging. One solution is to animate 3D scenes with physics-based simulation, which requires manually assigning precise…

Computer Vision and Pattern Recognition · Computer Science 2024-12-19 Tianyu Huang , Haoze Zhang , Yihan Zeng , Zhilu Zhang , Hui Li , Wangmeng Zuo , Rynson W. H. Lau

Prior work for articulated 3D shape reconstruction often relies on specialized sensors (e.g., synchronized multi-camera systems), or pre-built 3D deformable models (e.g., SMAL or SMPL). Such methods are not able to scale to diverse sets of…

Computer Vision and Pattern Recognition · Computer Science 2023-04-04 Gengshan Yang , Minh Vo , Natalia Neverova , Deva Ramanan , Andrea Vedaldi , Hanbyul Joo

Kinematic rigs provide a structured interface for articulating 3D meshes but lack any associated pose space, i.e., an explicit representation of the plausible manifold of joint configurations for a given mesh. Without such a pose space,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-22 Honglin Chen , Karran Pandey , Rundi Wu , Matheus Gadelha , Yannick Hold-Geoffroy , Ayush Tewari , Niloy J. Mitra , Changxi Zheng , Paul Guerrero