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Cross-Modal learning tasks have picked up pace in recent times. With plethora of applications in diverse areas, generation of novel content using multiple modalities of data has remained a challenging problem. To address the same, various…

计算机视觉与模式识别 · 计算机科学 2023-07-12 Nikhil Verma

The recent progress of text-to-image generation has been recognized in architectural design. Our study is the first to investigate the potential of text-to-image generators in supporting creativity during the early stages of the…

人机交互 · 计算机科学 2024-01-17 Ville Paananen , Jonas Oppenlaender , Aku Visuri

With the global population increasing and arable land resources becoming increasingly limited, smart and precision agriculture have emerged as essential directions for sustainable agricultural development. Artificial intelligence (AI),…

机器学习 · 计算机科学 2025-10-15 Xing Hu , Haodong Chen , Qianqian Duan , Dawei Zhang

Cutting-edge diffusion models produce images with high quality and customizability, enabling them to be used for commercial art and graphic design purposes. But do diffusion models create unique works of art, or are they replicating content…

机器学习 · 计算机科学 2022-12-13 Gowthami Somepalli , Vasu Singla , Micah Goldblum , Jonas Geiping , Tom Goldstein

Generative artificial intelligence (AI) refers to algorithms that create synthetic but realistic output. Diffusion models currently offer state of the art performance in generative AI for images. They also form a key component in more…

机器学习 · 计算机科学 2023-12-27 Catherine F. Higham , Desmond J. Higham , Peter Grindrod

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

Generative AI models have revolutionized various fields by enabling the creation of realistic and diverse data samples. Among these models, diffusion models have emerged as a powerful approach for generating high-quality images, text, and…

计算机视觉与模式识别 · 计算机科学 2024-02-27 Gaurav Raut , Apoorv Singh

Image-based fashion design with AI techniques has attracted increasing attention in recent years. We focus on a new fashion design task, where we aim to transfer a reference appearance image onto a clothing image while preserving the…

计算机视觉与模式识别 · 计算机科学 2023-02-15 Shidong Cao , Wenhao Chai , Shengyu Hao , Yanting Zhang , Hangyue Chen , Gaoang Wang

Urban design is a multifaceted process that demands careful consideration of site-specific constraints and collaboration among diverse professionals and stakeholders. The advent of generative artificial intelligence (GenAI) offers…

人工智能 · 计算机科学 2025-06-02 Mingyi He , Yuebing Liang , Shenhao Wang , Yunhan Zheng , Qingyi Wang , Dingyi Zhuang , Li Tian , Jinhua Zhao

Shear wall structures are widely used in high-rise residential buildings, and the layout of shear walls requires many years of design experience and iterative trial and error. Currently, there are methods based on heuristic algorithms, but…

人工智能 · 计算机科学 2023-05-19 Lufeng Wang , Jiepeng Liu , Guozhong Cheng , En Liu , Wei Chen

Recent advancements in text-to-image diffusion models have significantly transformed visual content generation, yet their application in specialized fields such as interior design remains underexplored. In this paper, we present…

计算机视觉与模式识别 · 计算机科学 2024-09-06 Zhaowei Wang , Ying Hao , Hao Wei , Qing Xiao , Lulu Chen , Yulong Li , Yue Yang , Tianyi Li

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

The success of agricultural artificial intelligence depends heavily on large, diverse, and high-quality plant image datasets, yet collecting such data in real field conditions is costly, labor intensive, and seasonally constrained. This…

计算机视觉与模式识别 · 计算机科学 2025-12-23 Da Tan , Michael Beck , Christopher P. Bidinosti , Robert H. Gulden , Christopher J. Henry

The latest developments in Artificial Intelligence include diffusion generative models, quite popular tools which can produce original images both unconditionally and, in some cases, conditioned by some inputs provided by the user. Apart…

计算机视觉与模式识别 · 计算机科学 2023-02-13 Stefano Scotta , Alberto Messina

In layout-to-image (L2I) synthesis, controlled complex scenes are generated from coarse information like bounding boxes. Such a task is exciting to many downstream applications because the input layouts offer strong guidance to the…

计算机视觉与模式识别 · 计算机科学 2025-03-18 Ruyu Wang , Xuefeng Hou , Sabrina Schmedding , Marco F. Huber

This article explores the use of recent generative AI algorithms for repairing cultural heritage objects, leveraging a conditional diffusion model designed to reconstruct 3D point clouds effectively. Our study evaluates the model's…

计算机视觉与模式识别 · 计算机科学 2024-10-16 Pablo Jaramillo , Ivan Sipiran

Image generation using generative AI is rapidly becoming a major new source of visual media, with billions of AI generated images created using diffusion models such as Stable Diffusion and Midjourney over the last few years. In this paper…

人机交互 · 计算机科学 2024-01-29 Jon McCormack , Maria Teresa Llano , Stephen James Krol , Nina Rajcic

The advancements in the state of the art of generative Artificial Intelligence (AI) brought by diffusion models can be highly beneficial in novel contexts involving Earth observation data. After introducing this new family of generative…

计算机视觉与模式识别 · 计算机科学 2024-02-20 Fulvio Sanguigni , Mikolaj Czerkawski , Lorenzo Papa , Irene Amerini , Bertrand Le Saux

With the spread of the use of Text2Img diffusion models such as DALL-E 2, Imagen, Mid Journey and Stable Diffusion, one challenge that artists face is selecting the right prompts to achieve the desired artistic output. We present techniques…

计算机视觉与模式识别 · 计算机科学 2022-11-29 Sam Witteveen , Martin Andrews

This study investigates how generative AI systems interpret the architectural intelligence embedded in vernacular form. Using the Iranian pigeon tower as a case study, the research tests three diffusion models, Midjourney v6, DALL-E 3, and…

人工智能 · 计算机科学 2026-01-05 Abolhassan Pishahang , Maryam Badiei