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Related papers: Desigen: A Pipeline for Controllable Design Templa…

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Controllable layout generation refers to the process of creating a plausible visual arrangement of elements within a graphic design (e.g., document and web designs) with constraints representing design intentions. Although recent…

Computer Vision and Pattern Recognition · Computer Science 2024-05-17 Jian Chen , Ruiyi Zhang , Yufan Zhou , Rajiv Jain , Zhiqiang Xu , Ryan Rossi , Changyou Chen

Existing text-to-image models struggle to follow complex text prompts, raising the need for extra grounding inputs for better controllability. In this work, we propose to decompose a scene into visual primitives - denoted as dense blob…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Weili Nie , Sifei Liu , Morteza Mardani , Chao Liu , Benjamin Eckart , Arash Vahdat

Automatic layout generation that can synthesize high-quality layouts is an important tool for graphic design in many applications. Though existing methods based on generative models such as Generative Adversarial Networks (GANs) and…

Computer Vision and Pattern Recognition · Computer Science 2023-05-05 Shang Chai , Liansheng Zhuang , Fengying Yan

Layers have become indispensable tools for professional artists, allowing them to build a hierarchical structure that enables independent control over individual visual elements. In this paper, we propose LayeringDiff, a novel pipeline for…

Computer Vision and Pattern Recognition · Computer Science 2025-01-03 Kyoungkook Kang , Gyujin Sim , Geonung Kim , Donguk Kim , Seungho Nam , Sunghyun Cho

In this paper, we study the graphic layout generation problem of producing high-quality visual-textual presentation designs for given images. We note that image compositions, which contain not only global semantics but also spatial…

Computer Vision and Pattern Recognition · Computer Science 2022-07-14 Min Zhou , Chenchen Xu , Ye Ma , Tiezheng Ge , Yuning Jiang , Weiwei Xu

Microscopic traffic simulation has become an important tool for autonomous driving training and testing. Although recent data-driven approaches advance realistic behavior generation, their learning still relies primarily on a single…

Artificial Intelligence · Computer Science 2025-03-11 Shenyu Zhang , Jiaguo Tian , Zhengbang Zhu , Shan Huang , Jucheng Yang , Weinan Zhang

Transparent image layer generation plays a significant role in digital art and design workflows. Existing methods typically decompose transparent layers from a single RGB image using a set of tools or generate multiple transparent layers…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Dingbang Huang , Wenbo Li , Yifei Zhao , Xinyu Pan , Chun Wang , Yanhong Zeng , Bo Dai

Content-aware visual-textual presentation layout aims at arranging spatial space on the given canvas for pre-defined elements, including text, logo, and underlay, which is a key to automatic template-free creative graphic design. In…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 HsiaoYuan Hsu , Xiangteng He , Yuxin Peng , Hao Kong , Qing Zhang

As the basis of generative AI, an autoregressive model requires the generation of a new token depending on all the previously generated tokens, which brings high quality but also restricts the model to generate tokens one by one, forming a…

Computation and Language · Computer Science 2025-07-02 Zixian Huang , Chenxu Niu , Yu Gu , Gengyang Xiao , Xinwei Huang , Gong Cheng

Layout generation is a foundation task of graphic design, which requires the integration of visual aesthetics and harmonious expression of content delivery. However, existing methods still face challenges in generating precise and visually…

Computer Vision and Pattern Recognition · Computer Science 2024-11-26 Yu Li , Yifan Chen , Gongye Liu , Fei Yin , Qingyan Bai , Jie Wu , Hongfa Wang , Ruihang Chu , Yujiu Yang

Diffusion models are advancing autonomous driving by enabling realistic data synthesis, predictive end-to-end planning, and closed-loop simulation, with a primary focus on temporally consistent generation. However, large-scale 3D scene…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Yu Yang , Alan Liang , Jianbiao Mei , Yukai Ma , Yong Liu , Gim Hee Lee

Adversarial attacks from generative models often produce low-quality images and require substantial computational resources. Diffusion models, though capable of high-quality generation, typically need hundreds of sampling steps for…

Computer Vision and Pattern Recognition · Computer Science 2025-08-22 Susim Roy , Anubhooti Jain , Mayank Vatsa , Richa Singh

For an artist or a graphic designer, the spatial layout of a scene is a critical design choice. However, existing text-to-image diffusion models provide limited support for incorporating spatial information. This paper introduces Composite…

Computer Vision and Pattern Recognition · Computer Science 2023-07-27 Vikram Jamwal , Ramaneswaran S

Media design layer generation enables the creation of fully editable, layered design documents such as posters, flyers, and logos using only natural language prompts. Existing methods either restrict outputs to a fixed number of layers or…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Vlad-Constantin Lungu-Stan , Ionut Mironica , Mariana-Iuliana Georgescu

Creating high-fidelity 3D models of indoor environments is essential for applications in design, virtual reality, and robotics. However, manual 3D modeling remains time-consuming and labor-intensive. While recent advances in generative AI…

Computer Vision and Pattern Recognition · Computer Science 2026-01-16 Chuan Fang , Heng Li , Yixun Liang , Jia Zheng , Yongsen Mao , Yuan Liu , Rui Tang , Zihan Zhou , Ping Tan

Video relighting is a challenging yet valuable task, aiming to replace the background in videos while correspondingly adjusting the lighting in the foreground with harmonious blending. During translation, it is essential to preserve the…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Jianshu Zeng , Yuxuan Liu , Yutong Feng , Chenxuan Miao , Zixiang Gao , Jiwang Qu , Jianzhang Zhang , Bin Wang , Kun Yuan

The design of functional materials with desired properties is essential in driving technological advances in areas like energy storage, catalysis, and carbon capture. Generative models provide a new paradigm for materials design by directly…

Designing high-quality presentation slides can be challenging for non-experts due to the complexity involved in navigating various design choices. Numerous automated tools can suggest layouts and color schemes, yet often lack the ability to…

Computer Vision and Pattern Recognition · Computer Science 2025-07-24 Jooyeol Yun , Heng Wang , Yotaro Shimose , Jaegul Choo , Shingo Takamatsu

In this work, we consider the typography generation task that aims at producing diverse typographic styling for the given graphic document. We formulate typography generation as a fine-grained attribute generation for multiple text elements…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Wataru Shimoda , Daichi Haraguchi , Seiichi Uchida , Kota Yamaguchi

Image tiling -- the seamless connection of disparate images to create a coherent visual field -- is crucial for applications such as texture creation, video game asset development, and digital art. Traditionally, tiles have been constructed…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Or Madar , Ohad Fried