Francesca Morini,Manuela Garreton,Jona Pomerance et al.
Francesca Morini et al.
We propose critical interactivity as a concept to study and design the dynamic and transitory aspects of data visualizations. Theoretically, interactivity is often described as the means to support analytical tasks, while in practice, it en...
MarsIPAN: Optimization and Negotiations in Mars Sample Return Scheduling Coordination [0.03%]
火星IPAN：火星样本返回任务调度协调中的优化与协商
Jasmine T Otto,Malika Khurana,Noah Deutsch et al.
Jasmine T Otto et al.
Resource allocation problems touch almost every aspect of modernity. We examine communication bandwidth optimization and negotiation in NASA's early stage Mars Sample Return (MSR) mission, which places multiple robots into a single region o...
Tsukasa Fukusato,Naoki Kita
Tsukasa Fukusato
This paper proposes a method to design protective foam for packaging 3D objects. Users first load a 3D object and define a block-based design space by setting the block resolution and the size of each block. The system then constructs a blo...
The UDV Card Deck: A Collaborative Design Framework to Facilitate Urban Visualization Conversations [0.03%]
UDV卡牌套装：促进城市视觉化交流的合作设计框架
Damla Cay,Till Nagel,Sebastian Meier
Damla Cay
This paper presents the Urban Data Visualization (UDV) card deck, a tool designed to facilitate reflective discussions and inform the collaborative design process of urban data visualizations. The UDV card deck was developed to bridge the g...
Unified Visual Comparison Framework for Human and AI Paintings using Neural Embeddings and Computational Aesthetics [0.03%]
基于神经嵌入和计算美学的人类与AI绘画统一视觉比较框架
Yilin Ye,Rong Huang,Kang Zhang et al.
Yilin Ye et al.
To facilitate comparative analysis of AI and human paintings, we present a unified computational framework combining neural embedding and computational aesthetic features. We first exploit CLIP embedding to provide a projected overview for ...
Meet-In-Style: Text-driven Real-time Video Stylization using Diffusion Models [0.03%]
实时文本驱动视频风格化：使用扩散模型的 Meet-In-Style方法
David Kunz,Ondrej Texler,David Mould et al.
David Kunz et al.
We present Meet-In-Style-a new approach to real-time stylization of live video streams using text prompts. In contrast to previous text-based techniques, our system is able to stylize input video at 30 fps on commodity graphics hardware whi...
Ioannis Kavouras,Ioannis Rallis,Emmanuel Sardis et al.
Ioannis Kavouras et al.
The continuous evolution of artificial intelligence and advanced algorithms capable of generating information from simplified input creates new opportunities for several scientific fields. Currently, the applicability of such technologies i...
Should I render or should AI Generate? Crafting Synthetic Semantic Segmentation Datasets with Controlled Generation [0.03%]
我应该渲染还是使用AI生成？用控制生成合成语义分割数据集
Omar A Mures,Manuel Silva,Manuel Lijo-Sanchez et al.
Omar A Mures et al.
This work explores the integration of generative AI models for automatically generating synthetic image-labeled data. Our approach leverages controllable Diffusion Models to generate synthetic variations of semantically labeled images. Synt...
HoloJig: Interactive Spoken Prompt Specified Generative AI Environments [0.03%]
HoloJig：交互式语音指令指定的生成AI环境
Llogari Casas,Samantha Hannah,Kenny Mitchell
Llogari Casas
HoloJig offers an interactive, speech-to-VR, virtual reality experience that generates diverse environments in real-time based on live spoken descriptions. Unlike traditional VR systems that rely on pre-built assets, HoloJig dynamically cre...
What Data Does and Does Not Represent: Visualizing the Archive of Slavery [0.03%]
数据能代表和不能代表的：可视化奴隶档案
Shiyao Li,Margy Adams,Tanvi Sharma et al.
Shiyao Li et al.
This paper presents a design report on a humanistically-informed data visualization of a dataset related to the trans-Atlantic slave trade. The visualization employs a quantitative dataset of slaving voyages that took place between 1565 and...