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The availability of large idea repositories (e.g., the U.S. patent database) could significantly accelerate innovation and discovery by providing people with inspiration from solutions to analogous problems. However, finding useful…

Computation and Language · Computer Science 2017-06-20 Tom Hope , Joel Chan , Aniket Kittur , Dafna Shahaf

Many applications can benefit from personalized image generation models, including image enhancement, video conferences, just to name a few. Existing works achieved personalization by fine-tuning one model for each person. While being…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Yu-Chuan Su , Kelvin C. K. Chan , Yandong Li , Yang Zhao , Han Zhang , Boqing Gong , Huisheng Wang , Xuhui Jia

As a common image editing operation, image composition (object insertion) aims to combine the foreground from one image and another background image, to produce a composite image. However, there are many issues that could make the composite…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Li Niu , Wenyan Cong , Liu Liu , Yan Hong , Bo Zhang , Jing Liang , Liqing Zhang

In creative design, where aesthetics play a crucial role in determining the quality of outcomes, there are often multiple worthwhile possibilities, rather than a single ``best'' design. This challenge is compounded in the use of…

Neural and Evolutionary Computing · Computer Science 2023-05-09 Jon McCormack , Camilo Cruz Gambardella , Stephen James Krol

We present FashionComposer for compositional fashion image generation. Unlike previous methods, FashionComposer is highly flexible. It takes multi-modal input (i.e., text prompt, parametric human model, garment image, and face image) and…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Sihui Ji , Yiyang Wang , Xi Chen , Xiaogang Xu , Hao Luo , Hengshuang Zhao

Despite diffusion models' superior capabilities in modeling complex distributions, there are still non-trivial distributional discrepancies between generated and ground-truth images, which has resulted in several notable problems in image…

Computer Vision and Pattern Recognition · Computer Science 2024-10-08 Yujian Liu , Yang Zhang , Tommi Jaakkola , Shiyu Chang

Space exploration has always been a source of inspiration for humankind, and thanks to modern telescopes, it is now possible to observe celestial bodies far away from us. With a growing number of real and imaginary images of space available…

Computer Vision and Pattern Recognition · Computer Science 2021-11-24 Davide Coccomini , Nicola Messina , Claudio Gennaro , Fabrizio Falchi

People enjoy food photography because they appreciate food. Behind each meal there is a story described in a complex recipe and, unfortunately, by simply looking at a food image we do not have access to its preparation process. Therefore,…

Computer Vision and Pattern Recognition · Computer Science 2019-06-18 Amaia Salvador , Michal Drozdzal , Xavier Giro-i-Nieto , Adriana Romero

We present a similar image retrieval (SIR) platform that is used to quickly discover visually similar products in a catalog of millions. Given the size, diversity, and dynamism of our catalog, product search poses many challenges. It can be…

Computer Vision and Pattern Recognition · Computer Science 2020-09-30 Theban Stanley , Nihar Vanjara , Yanxin Pan , Ekaterina Pirogova , Swagata Chakraborty , Abon Chaudhuri

Design sharing sites provide UI designers with a platform to share their works and also an opportunity to get inspiration from others' designs. To facilitate management and search of millions of UI design images, many design sharing sites…

Human-Computer Interaction · Computer Science 2020-10-06 Chunyang Chen , Sidong Feng , Zhengyang Liu , Zhenchang Xing , Shengdong Zhao

Human creativity generates novel ideas to solve real-world problems. This thereby grants us the power to transform the surrounding world and extend our human attributes beyond what is currently possible. Creative ideas are not just new and…

Computation and Language · Computer Science 2021-06-21 Georgi V. Georgiev , Danko D. Georgiev

Image generation in the fashion domain has predominantly focused on preserving body characteristics or following input prompts, but little attention has been paid to improving the inherent fashionability of the output images. This paper…

Computer Vision and Pattern Recognition · Computer Science 2024-12-25 Qice Qin , Yuki Hirakawa , Ryotaro Shimizu , Takuya Furusawa , Edgar Simo-Serra

Text-to-image models are powerful tools for image creation. However, the generation process is akin to a dice roll and makes it difficult to achieve a single image that captures everything a user wants. In this paper, we propose a framework…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Sean J. Liu , Nupur Kumari , Ariel Shamir , Jun-Yan Zhu

Design generation requires tight integration of neural and symbolic reasoning, as good design must meet explicit user needs and honor implicit rules for aesthetics, utility, and convenience. Current automated design tools driven by neural…

Artificial Intelligence · Computer Science 2024-11-18 Maxwell Joseph Jacobson , Yexiang Xue

Generative AI models can produce high-quality images based on text prompts. The generated images often appear indistinguishable from images generated by conventional optical photography devices or created by human artists (i.e., real…

Computer Vision and Pattern Recognition · Computer Science 2024-04-24 Yuying Li , Zeyan Liu , Junyi Zhao , Liangqin Ren , Fengjun Li , Jiebo Luo , Bo Luo

Deep generative models seek to recover the process with which the observed data was generated. They may be used to synthesize new samples or to subsequently extract representations. Successful approaches in the domain of images are driven…

Computer Vision and Pattern Recognition · Computer Science 2020-07-27 Sjoerd van Steenkiste , Karol Kurach , Jürgen Schmidhuber , Sylvain Gelly

Text-to-image generation has shown remarkable progress with the emergence of diffusion models. However, these models often generate factually inconsistent images, failing to accurately reflect the factual information and common sense…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Youngsun Lim , Hyunjung Shim

Creativity is an indispensable part of human cognition and also an inherent part of how we make sense of the world. Metaphorical abstraction is fundamental in communicating creative ideas through nuanced relationships between abstract…

Generative art unlocks boundless creative possibilities, yet its full potential remains untapped due to the technical expertise required for advanced architectural concepts and computational workflows. To bridge this gap, we present…

Computer Vision and Pattern Recognition · Computer Science 2025-09-11 Duc-Hung Nguyen , Huu-Phuc Huynh , Minh-Triet Tran , Trung-Nghia Le

The creative industry is both concerned and enthusiastic about how generative AI will reshape creativity. How might these tools interact with the workflow values of creative artists? In this paper, we adopt a value-sensitive design…

Human-Computer Interaction · Computer Science 2024-05-07 Ian P. Swift , Debaleena Chattopadhyay
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