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The advent of stereoscopic videos has opened new horizons in multimedia, particularly in extended reality (XR) and virtual reality (VR) applications, where immersive content captivates audiences across various platforms. Despite its growing…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Qiao Jin , Xiaodong Chen , Wu Liu , Tao Mei , Yongdong Zhang

Visualizations, such as charts, are crucial for interpreting complex data. However, they are often provided as raster images, which are not compatible with assistive technologies for people with blindness and visual impairments, such as…

Computer Vision and Pattern Recognition · Computer Science 2024-05-30 Omar Moured , Sara Alzalabny , Anas Osman , Thorsten Schwarz , Karin Muller , Rainer Stiefelhagen

Vector graphic documents present visual elements in a resolution free, compact format and are often seen in creative applications. In this work, we attempt to learn a generative model of vector graphic documents. We define vector graphic…

Computer Vision and Pattern Recognition · Computer Science 2021-08-04 Kota Yamaguchi

Designers often encounter friction when animating static SVG graphics, especially when the visual structure does not match the desired level of motion detail. Existing tools typically depend on predefined groupings or require technical…

Human-Computer Interaction · Computer Science 2025-11-11 Jihyeon Park , Jiyoon Myung , Seone Shin , Jungki Son , Joohyung Han

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

Recent vision-language model (VLM)-based approaches have achieved impressive results on SVG generation. However, because they generate only text and lack visual signals during decoding, they often struggle with complex semantics and fail to…

Computer Vision and Pattern Recognition · Computer Science 2025-12-12 Peiying Zhang , Nanxuan Zhao , Matthew Fisher , Yiran Xu , Jing Liao , Difan Liu

In the realm of vision models, the primary mode of representation is using pixels to rasterize the visual world. Yet this is not always the best or unique way to represent visual content, especially for designers and artists who depict the…

Computer Vision and Pattern Recognition · Computer Science 2024-08-30 Bocheng Zou , Mu Cai , Jianrui Zhang , Yong Jae Lee

AI-driven content generation has made remarkable progress in recent years. However, neural networks and human designers operate in fundamentally different ways, making collaboration between them challenging. We address this gap for Scalable…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Tomas Guija-Valiente , Iago Suárez

Differentiable vector graphics (VGs) are widely used in image vectorization and vector synthesis, while existing representations are costly to optimize and struggle to achieve high-quality rendering results for high-resolution images. This…

Graphics · Computer Science 2025-12-10 Xi Liu , Chaoyi Zhou , Nanxuan Zhao , Siyu Huang

Visual effects (VFX) are essential for enhancing the expressiveness and creativity of video content, yet producing high-quality effects typically requires expert knowledge and costly production pipelines. Existing AIGC systems face…

Computer Vision and Pattern Recognition · Computer Science 2026-03-09 Shiyuan Yang , Ruihuang Li , Jiale Tao , Shuai Shao , Qinglin Lu , Jing Liao

Dramatic advances in generative models have resulted in near photographic quality for artificially rendered faces, animals and other objects in the natural world. In spite of such advances, a higher level understanding of vision and imagery…

Computer Vision and Pattern Recognition · Computer Science 2019-04-05 Raphael Gontijo Lopes , David Ha , Douglas Eck , Jonathon Shlens

Scene graphs provide a rich, structured representation of a scene by encoding the entities (objects) and their spatial relationships in a graphical format. This representation has proven useful in several tasks, such as question answering,…

Computer Vision and Pattern Recognition · Computer Science 2022-12-01 Sanjoy Kundu , Sathyanarayanan N. Aakur

Multimedia documents such as slide presentations and posters are designed to be interactive and easy to modify. Yet, they are often distributed in a static raster format, which limits editing and customization. Restoring their editability…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Adam Hazimeh , Ke Wang , Mark Collier , Gilles Baechler , Efi Kokiopoulou , Pascal Frossard

Recent progress in diffusion-based visual generation has largely relied on latent diffusion models with variational autoencoders (VAEs). While effective for high-fidelity synthesis, this VAE+diffusion paradigm suffers from limited training…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Minglei Shi , Haolin Wang , Wenzhao Zheng , Ziyang Yuan , Xiaoshi Wu , Xintao Wang , Pengfei Wan , Jie Zhou , Jiwen Lu

This work presents a generative modeling approach based on successive subspace learning (SSL). Unlike most generative models in the literature, our method does not utilize neural networks to analyze the underlying source distribution and…

Computer Vision and Pattern Recognition · Computer Science 2022-08-24 Zohreh Azizi , C. -C. Jay Kuo

Vector format has been popular for representing icons and sketches. It has also been famous for design purposes. Regarding image editing, research on vector graphics editing rarely exists in contrast with the raster counterpart. We…

Graphics · Computer Science 2025-02-28 Kunato Nishina , Yusuke Matsui

Perceptual video compression leverages generative priors to reconstruct realistic textures and motions at low bitrates. However, existing perceptual codecs often lack native support for variable bitrate and progressive delivery, and their…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Daowen Li , Ruixiao Dong , Ying Chen , Kai Li , Ding Ding , Li Li

Storytelling video generation (SVG) aims to produce coherent and visually rich multi-scene videos that follow a structured narrative. Existing methods primarily employ LLM for high-level planning to decompose a story into scene-level…

Computer Vision and Pattern Recognition · Computer Science 2025-11-17 Zun Wang , Jialu Li , Han Lin , Jaehong Yoon , Mohit Bansal

Vector glyphs are the atomic units of digital typography, yet most learning-based pipelines still depend on carefully curated exemplar sheets and raster-to-vector postprocessing, which limits accessibility and editability. We introduce…

Motion graphics videos are widely used in Web design, digital advertising, animated logos and film title sequences, to capture a viewer's attention. But editing such video is challenging because the video provides a low-level sequence of…

Graphics · Computer Science 2023-10-04 Sharon Zhang , Jiaju Ma , Jiajun Wu , Daniel Ritchie , Maneesh Agrawala