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Related papers: Sketch2Motion: Text-driven 2D Sketch to 3D Animati…

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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 propose a novel framework to produce cartoon videos by fetching the color information from two input keyframes while following the animated motion guided by a user sketch. The key idea of the proposed approach is to estimate the dense…

Computer Vision and Pattern Recognition · Computer Science 2021-01-19 Xiaoyu Li , Bo Zhang , Jing Liao , Pedro V. Sander

Human motion generation is a significant pursuit in generative computer vision with widespread applications in film-making, video games, AR/VR, and human-robot interaction. Current methods mainly utilize either diffusion-based generative…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Canxuan Gang

Among the existing modalities for 3D action recognition, 3D flow has been poorly examined, although conveying rich motion information cues for human actions. Presumably, its susceptibility to noise renders it intractable, thus challenging…

Computer Vision and Pattern Recognition · Computer Science 2023-06-26 Vasileios Magoulianitis , Athanasios Psaltis

The creation of 4D avatars (i.e., animated 3D avatars) from text description typically uses text-to-image (T2I) diffusion models to synthesize 3D avatars in the canonical space and subsequently applies animation with target motions.…

Computer Vision and Pattern Recognition · Computer Science 2024-06-10 Zenghao Chai , Chen Tang , Yongkang Wong , Mohan Kankanhalli

In recent years, diffusion models have made remarkable strides in text-to-video generation, sparking a quest for enhanced control over video outputs to more accurately reflect user intentions. Traditional efforts predominantly focus on…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Mingxiao Li , Bo Wan , Marie-Francine Moens , Tinne Tuytelaars

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

The production of high-quality 2D animation is highly labor-intensive process, as animators are currently required to draw and color a large number of frames by hand. We present SketchColour, the first sketch-to-colour pipeline for 2D…

Computer Vision and Pattern Recognition · Computer Science 2025-07-03 Bryan Constantine Sadihin , Michael Hua Wang , Shei Pern Chua , Hang Su

We propose a simple and novel method for generating 3D human motion from complex natural language sentences, which describe different velocity, direction and composition of all kinds of actions. Different from existing methods that use…

Computer Vision and Pattern Recognition · Computer Science 2023-04-17 Zhiyuan Ren , Zhihong Pan , Xin Zhou , Le Kang

Sketch animation has emerged as a transformative technology, bridging art and science to create dynamic visual narratives across various fields such as entertainment, education, healthcare, and virtual reality. This survey explores recent…

Graphics · Computer Science 2026-02-27 Gaurav Rai , Ojaswa Sharma

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

Recent advances in motion diffusion models have led to remarkable progress in diverse motion generation tasks, including text-to-motion synthesis. However, existing approaches represent motions as dense frame sequences, requiring the model…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Jinseok Bae , Inwoo Hwang , Young Yoon Lee , Ziyu Guo , Joseph Liu , Yizhak Ben-Shabat , Young Min Kim , Mubbasir Kapadia

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

3D animations are an effective method to learn about complex dynamic phenomena, such as mesoscale biological processes. The animators' goals are to convey a sense of the scene's overall complexity while, at the same time, visually guiding…

Human-Computer Interaction · Computer Science 2025-04-29 Johannes Eschner , Peter Mindek , Manuela Waldner

Reconstructing 3D human shapes from 2D images has received increasing attention recently due to its fundamental support for many high-level 3D applications. Compared with natural images, freehand sketches are much more flexible to depict…

Computer Vision and Pattern Recognition · Computer Science 2023-10-11 Fei Wang , Kongzhang Tang , Hefeng Wu , Baoquan Zhao , Hao Cai , Teng Zhou

4D generation has made remarkable progress in synthesizing dynamic 3D objects from input text, images, or videos. However, existing methods often represent motion as an implicit deformation field, which limits direct control and…

Computer Vision and Pattern Recognition · Computer Science 2026-02-05 Lifan Wu , Ruijie Zhu , Yubo Ai , Tianzhu Zhang

Recent advances in generative motion synthesis have enabled the production of realistic human motions from diverse input modalities. However, synthesizing compound actions from texts, which integrate multiple concurrent actions into…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Yue Jiang , Mingyu Yang , Liuyuxin Yang , Yang Xu , Bingxin Yun , Yuhe Zhang

Sketching is used as a ubiquitous tool of expression by novices and experts alike. In this thesis I explore two methods that help a system provide a geometric machine-understanding of sketches, and in-turn help a user accomplish a…

Computer Vision and Pattern Recognition · Computer Science 2022-04-15 Raghav Brahmadesam Venkataramaiyer

The emergence of text-driven motion synthesis technique provides animators with great potential to create efficiently. However, in most cases, textual expressions only contain general and qualitative motion descriptions, while lack fine…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 Dong Wei , Xiaoning Sun , Huaijiang Sun , Bin Li , Shengxiang Hu , Weiqing Li , Jianfeng Lu

The automatic co-speech gesture generation draws much attention in computer animation. Previous works designed network structures on individual datasets, which resulted in a lack of data volume and generalizability across different motion…

Human-Computer Interaction · Computer Science 2023-09-14 Sicheng Yang , Zilin Wang , Zhiyong Wu , Minglei Li , Zhensong Zhang , Qiaochu Huang , Lei Hao , Songcen Xu , Xiaofei Wu , changpeng yang , Zonghong Dai
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