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We present Rhino, a system for accelerating tensor programs with automatic parallelization on AI platform for real production environment. It transforms a tensor program written for a single device into an equivalent distributed program…

分布式、并行与集群计算 · 计算机科学 2023-02-17 Shiwei Zhang , Lansong Diao , Siyu Wang , Zongyan Cao , Yiliang Gu , Chang Si , Ziji Shi , Zhen Zheng , Chuan Wu , Wei Lin

In this paper, we introduce an innovative application of artificial intelligence in the realm of interior design through the integration of Stable Diffusion and Dreambooth models. This paper explores the potential of these advanced…

人机交互 · 计算机科学 2024-05-30 Kaiwen Zhou , Tianyu Wang

Design inspiration is crucial for establishing the direction of a design as well as evoking feelings and conveying meanings during the conceptual design process. Many practice designers use text-based searches on platforms like Pinterest to…

人机交互 · 计算机科学 2024-07-18 Ye Wang , Nicole B. Damen , Thomas Gale , Voho Seo , Hooman Shayani

The rapid evolution of the fashion industry increasingly intersects with technological advancements, particularly through the integration of generative AI. This study introduces a novel generative pipeline designed to transform the fashion…

计算机视觉与模式识别 · 计算机科学 2024-04-30 Abhishek Kumar Singh , Ioannis Patras

Text-to-image generative models have made remarkable advancements in generating high-quality images. However, generated images often contain undesirable artifacts or other errors due to model limitations. Existing techniques to fine-tune…

计算机视觉与模式识别 · 计算机科学 2023-10-31 Peyman Gholami , Robert Xiao

AI image generators based on diffusion models have recently garnered attention for their capability to create images from simple text prompts. However, for practical use in civil engineering they need to be able to create specific…

机器学习 · 计算机科学 2024-05-06 Joern Ploennigs , Markus Berger

Latent diffusion models (LDMs) dominate high-quality image generation, yet integrating representation learning with generative modeling remains a challenge. We introduce a novel generative image modeling framework that seamlessly bridges…

计算机视觉与模式识别 · 计算机科学 2026-01-23 Theodoros Kouzelis , Efstathios Karypidis , Ioannis Kakogeorgiou , Spyros Gidaris , Nikos Komodakis

GUI (graphical user interface) prototyping is a widely-used technique in requirements engineering for gathering and refining requirements, reducing development risks and increasing stakeholder engagement. However, GUI prototyping can be a…

软件工程 · 计算机科学 2023-10-05 Jialiang Wei , Anne-Lise Courbis , Thomas Lambolais , Binbin Xu , Pierre Louis Bernard , Gérard Dray

Stable Diffusion web UI (SD-WebUI) is a comprehensive project that provides a browser interface based on Gradio library for Stable Diffusion models. In this paper, We propose a novel WebUI plugin called EasyPhoto, which enables the…

计算机视觉与模式识别 · 计算机科学 2023-10-10 Ziheng Wu , Jiaqi Xu , Xinyi Zou , Kunzhe Huang , Xing Shi , Jun Huang

The future networks pose intense demands for intelligent and customized designs to cope with the surging network scale, dynamically time-varying environments, diverse user requirements, and complicated manual configuration. However,…

网络与互联网体系结构 · 计算机科学 2023-08-01 Yudong Huang , Minrui Xu , Xinyuan Zhang , Dusit Niyato , Zehui Xiong , Shuo Wang , Tao Huang

Recent diffusion-based AI art platforms are able to create impressive images from simple text descriptions. This makes them powerful tools for concept design in any discipline that requires creativity in visual design tasks. This is also…

人工智能 · 计算机科学 2023-08-21 Joern Ploennigs , Markus Berger

Recent advances in artificial intelligence research have led to a profusion of studies that apply deep learning to problems in image analysis and natural language processing among others. Additionally, the availability of open-source…

Stable Diffusion fine-tuning technique is tried to assist bridge-type innovation. The bridge real photo dataset is built, and Stable Diffusion is fine tuned by using four methods that are Textual Inversion, Dreambooth, Hypernetwork and…

机器学习 · 计算机科学 2024-09-25 Leye Zhang , Xiangxiang Tian , Chengli Zhang , Hongjun Zhang

Recently, diffusion models have exhibited superior performance in the area of image inpainting. Inpainting methods based on diffusion models can usually generate realistic, high-quality image content for masked areas. However, due to the…

计算机视觉与模式识别 · 计算机科学 2024-12-03 Ruichen Wang , Junliang Zhang , Qingsong Xie , Chen Chen , Haonan Lu

Diffusion models trained on large-scale datasets have achieved remarkable progress in image synthesis. However, due to the randomness in the diffusion process, they often struggle with handling diverse low-level tasks that require details…

计算机视觉与模式识别 · 计算机科学 2024-05-29 Yuhao Liu , Zhanghan Ke , Fang Liu , Nanxuan Zhao , Rynson W. H. Lau

As artificial intelligence (AI) continues to evolve from a back-end computational tool into an interactive, generative collaborator, its integration into early-stage design processes demands a rethinking of traditional workflows in…

人机交互 · 计算机科学 2025-07-25 Zhangqi Liu

The rapid development of image generation and editing algorithms in recent years has enabled ordinary user to produce realistic images. However, the current AI painting ecosystem predominantly relies on text-driven diffusion models (T2I),…

计算机视觉与模式识别 · 计算机科学 2025-03-03 Jiaming Chu , Lei Jin , Tao Wang , Junliang Xing , Jian Zhao

This pictorial presents an ongoing research programme comprising three practice-based Design Research projects conducted through 2024, exploring the affordances of diffusion-based AI image generation systems, specifically Stable Diffusion.…

人机交互 · 计算机科学 2024-11-21 Joseph Lindley , Roger Whitham

We propose a novel model- and feature-based approach to development of vehicle software systems, where the end architecture is not explicitly defined. Instead, it emerges from an iterative process of search and optimization given certain…

软件工程 · 计算机科学 2024-03-22 Krzysztof Lebioda , Viktor Vorobev , Nenad Petrovic , Fengjunjie Pan , Vahid Zolfaghari , Alois Knoll

Conventional physically based rendering (PBR) pipelines generate photorealistic images through computationally intensive light transport simulations. Although recent deep learning approaches leverage diffusion model priors with geometry…

计算机视觉与模式识别 · 计算机科学 2026-04-08 Shenghao Zhang , Runtao Liu , Christopher Schroers , Yang Zhang
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