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Dynamic mode decomposition (DMD) is an emerging methodology that has recently attracted computational scientists working on nonintrusive reduced order modeling. One of the major strengths that DMD possesses is having ground theoretical…

Numerical Analysis · Mathematics 2022-01-12 Shady E. Ahmed , Omer San , Diana A. Bistrian , Ionel M. Navon

We develop a method for producing vector sketches one part at a time. To do this, we train a multi-modal language model-based agent using a novel multi-turn process-reward reinforcement learning following supervised fine-tuning. Our…

Artificial Intelligence · Computer Science 2026-04-27 Xiaodan Du , Ruize Xu , David Yunis , Yael Vinker , Greg Shakhnarovich

We propose a novel image-to-pencil translation method that could not only generate high-quality pencil sketches but also offer the drawing process. Existing pencil sketch algorithms are based on texture rendering rather than the direct…

Computer Vision and Pattern Recognition · Computer Science 2020-12-17 Zhengyan Tong , Xuanhong Chen , Bingbing Ni , Xiaohang Wang

Significant progress has recently been made in creative applications of large pre-trained models for downstream tasks in 3D vision, such as text-to-shape generation. This motivates our investigation of how these pre-trained models can be…

Computer Vision and Pattern Recognition · Computer Science 2023-07-11 Aditya Sanghi , Pradeep Kumar Jayaraman , Arianna Rampini , Joseph Lambourne , Hooman Shayani , Evan Atherton , Saeid Asgari Taghanaki

Creative sketching or doodling is an expressive activity, where imaginative and previously unseen depictions of everyday visual objects are drawn. Creative sketch image generation is a challenging vision problem, where the task is to…

Computer Vision and Pattern Recognition · Computer Science 2022-09-16 Ankan Kumar Bhunia , Salman Khan , Hisham Cholakkal , Rao Muhammad Anwer , Fahad Shahbaz Khan , Jorma Laaksonen , Michael Felsberg

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

With the emerging diffusion models, recently, text-to-video generation has aroused increasing attention. But an important bottleneck therein is that generative videos often tend to carry some flickers and artifacts. In this work, we propose…

Computer Vision and Pattern Recognition · Computer Science 2024-01-02 Binhui Liu , Xin Liu , Anbo Dai , Zhiyong Zeng , Dan Wang , Zhen Cui , Jian Yang

Sketching in 3D space enables expressive reasoning about shape, structure, and spatial relationships, yet generating 3D sketches through natural language remains a major challenge. In this work, we introduce 3DrawAgent, a training-free,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Hongcan Xiao , Xinyue Xiao , Yilin Wang , Yue Zhang , Yonggang Qi

Visual illusions traditionally rely on spatial manipulations such as multi-view consistency. In this work, we introduce Progressive Semantic Illusions, a novel vector sketching task where a single sketch undergoes a dramatic semantic…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Huai-Hsun Cheng , Siang-Ling Zhang , Yu-Lun Liu

Integrating motion into static images not only enhances visual expressiveness but also creates a sense of immersion and temporal depth, establishing it as a longstanding and impactful theme in artistic expression. Fluid elements such as…

Graphics · Computer Science 2025-10-21 Hao Jin , Haoran Xie

The "one-shot" technique represents a distinct and sophisticated aesthetic in filmmaking. However, its practical realization is often hindered by prohibitive costs and complex real-world constraints. Although emerging video generation…

Computer Vision and Pattern Recognition · Computer Science 2025-12-29 Jiawei Liu , Junqiao Li , Jiangfan Deng , Gen Li , Siyu Zhou , Zetao Fang , Shanshan Lao , Zengde Deng , Jianing Zhu , Tingting Ma , Jiayi Li , Yunqiu Wang , Qian He , Xinglong Wu

Capturing and preserving motion semantics is essential to motion retargeting between animation characters. However, most of the previous works neglect the semantic information or rely on human-designed joint-level representations. Here, we…

Computer Vision and Pattern Recognition · Computer Science 2024-04-16 Haodong Zhang , ZhiKe Chen , Haocheng Xu , Lei Hao , Xiaofei Wu , Songcen Xu , Zhensong Zhang , Yue Wang , Rong Xiong

We present a method to generate a video sequence given a single image. Because items in an image can be animated in arbitrarily many different ways, we introduce as control signal a sequence of motion strokes. Such control signal can be…

Image and Video Processing · Electrical Eng. & Systems 2020-08-17 Qiyang Hu , Adrian Wälchli , Tiziano Portenier , Matthias Zwicker , Paolo Favaro

2D animation is a common factor in game development, used for characters, effects and background art. It involves work that takes both skill and time, but parts of which are repetitive and tedious. Automated animation approaches exist, but…

Graphics · Computer Science 2022-09-02 Dagmar Lukka Loftsdóttir , Matthew Guzdial

In this paper, we propose a two-stage sketch-based smoke illustration generation framework using stream function and latent diffusion models (LDM). The user sketch is used to guide the generation of the stream function, which serves as the…

Graphics · Computer Science 2025-10-21 Hengyuan Chang , Xiaoxuan Xie , Syuhei Sato , Haoran Xie

Analysis of human sketches in deep learning has advanced immensely through the use of waypoint-sequences rather than raster-graphic representations. We further aim to model sketches as a sequence of low-dimensional parametric curves. To…

Computer Vision and Pattern Recognition · Computer Science 2021-03-30 Ayan Das , Yongxin Yang , Timothy Hospedales , Tao Xiang , Yi-Zhe Song

We present a novel task: text-to-3D sketch animation, which aims to bring freeform sketches to life in dynamic 3D space. Unlike prior works focused on photorealistic content generation, we target sparse, stylized, and view-consistent 3D…

Graphics · Computer Science 2025-10-30 Hao Chen , Jiaqi Wang , Yonggang Qi , Ke Li , Kaiyue Pang , Yi-Zhe Song

We describe a new algorithm called Frequent Directions for deterministic matrix sketching in the row-updates model. The algorithm is presented an arbitrary input matrix $A \in R^{n \times d}$ one row at a time. It performed $O(d \times…

Data Structures and Algorithms · Computer Science 2015-04-22 Mina Ghashami , Edo Liberty , Jeff M. Phillips , David P. Woodruff

This paper aims to manipulate multi-entity 3D motions in video generation. Previous methods on controllable video generation primarily leverage 2D control signals to manipulate object motions and have achieved remarkable synthesis results.…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Xiao Fu , Xian Liu , Xintao Wang , Sida Peng , Menghan Xia , Xiaoyu Shi , Ziyang Yuan , Pengfei Wan , Di Zhang , Dahua Lin

Despite rapid progress in video generation, existing models are incapable of producing vector animation, a dominant and highly expressive form of multimedia on the Internet. Vector animations offer resolution-independence, compactness,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Junhao Chen , Kejun Gao , Yuehan Cui , Mingze Sun , Mingjin Chen , Shaohui Wang , Xiaoxiao Long , Fei Ma , Qi Tian , Ruqi Huang , Hao Zhao