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Environment designers in the entertainment industry create imaginative 2D and 3D scenes for games, films, and television, requiring both fine-grained control of specific details and consistent global coherence. Designers have increasingly…

Human-Computer Interaction · Computer Science 2025-09-03 Wen-Fan Wang , Ting-Ying Lee , Chien-Ting Lu , Che-Wei Hsu , Nil Ponsa Campanyà , Yu Chen , Mike Y. Chen , Bing-Yu Chen

Sketching is a widely used medium for generating and exploring early-stage design concepts. While generative AI (GenAI) chatbots are increasingly used for idea generation, designers often struggle to craft effective prompts and find it…

Human-Computer Interaction · Computer Science 2025-11-19 Weiyan Shi , Sunaya Upadhyay , Geraldine Quek , Kenny Tsu Wei Choo

A storyboard is a sequence of images to illustrate a story containing multiple sentences, which has been a key process to create different story products. In this paper, we tackle a new multimedia task of automatic storyboard creation to…

Machine Learning · Computer Science 2019-12-02 Shizhe Chen , Bei Liu , Jianlong Fu , Ruihua Song , Qin Jin , Pingping Lin , Xiaoyu Qi , Chunting Wang , Jin Zhou

Effective communication is central to achieving positive healthcare outcomes in mental health contexts, yet international students often face linguistic and cultural barriers that hinder their communication of mental distress. In this…

Neurons and Cognition · Quantitative Biology 2025-12-05 Sui He , Shenbin Qian

Synthesizing high-fidelity and emotion-controllable talking video portraits, with audio-lip sync, vivid expressions, realistic head poses, and eye blinks, has been an important and challenging task in recent years. Most existing methods…

Computer Vision and Pattern Recognition · Computer Science 2025-03-28 Yibo Xia , Lizhen Wang , Xiang Deng , Xiaoyan Luo , Yunhong Wang , Yebin Liu

Large Multimodal Models (e.g., GPT-4, Gemini, Chameleon) have evolved into powerful tools with millions of users. However, they remain generic models and lack personalized knowledge of specific user concepts. Previous work has explored…

Computer Vision and Pattern Recognition · Computer Science 2025-04-30 Thao Nguyen , Krishna Kumar Singh , Jing Shi , Trung Bui , Yong Jae Lee , Yuheng Li

Current text-to-image (T2I) generation models achieve promising results, but they fail on the scenarios where the knowledge implied in the text prompt is uncertain. For example, a T2I model released in February would struggle to generate a…

Computer Vision and Pattern Recognition · Computer Science 2025-05-22 Chuanhao Li , Jianwen Sun , Yukang Feng , Mingliang Zhai , Yifan Chang , Kaipeng Zhang

Generative Artificial Intelligence systems have been developed for image, code, story, and game generation with the goal of facilitating human creativity. Recent work on neural generative systems has emphasized one particular means of…

Artificial Intelligence · Computer Science 2024-06-13 Zhiyu Lin , Upol Ehsan , Rohan Agarwal , Samihan Dani , Vidushi Vashishth , Mark Riedl

In the burgeoning field of AI-driven image generation, the quest for precision and relevance in response to textual prompts remains paramount. This paper introduces GPTDrawer, an innovative pipeline that leverages the generative prowess of…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Kun Li , Xinwei Chen , Tianyou Song , Hansong Zhang , Wenzhe Zhang , Qing Shan

We present Thinking with Generated Images, a novel paradigm that fundamentally transforms how large multimodal models (LMMs) engage with visual reasoning by enabling them to natively think across text and vision modalities through…

Computer Vision and Pattern Recognition · Computer Science 2025-05-29 Ethan Chern , Zhulin Hu , Steffi Chern , Siqi Kou , Jiadi Su , Yan Ma , Zhijie Deng , Pengfei Liu

The need for innovative ideas in data visualisation drives us to explore new creative approaches. Combining two or more creative words, particularly those that contradict each other, can positively impact the creative process, sparking…

Human-Computer Interaction · Computer Science 2024-09-05 Aron E. Owen , Jonathan C. Roberts

Body language such as conversational gesture is a powerful way to ease communication. Conversational gestures do not only make a speech more lively but also contain semantic meaning that helps to stress important information in the…

Robotics · Computer Science 2022-10-14 Hitoshi Teshima , Naoki Wake , Diego Thomas , Yuta Nakashima , Hiroshi Kawasaki , Katsushi Ikeuchi

Several approaches have been presented, which aim to extract models from natural language specifications. These approaches have inherent weaknesses for they assume an initial problem understanding that is perfect, and they leave no room for…

Information Retrieval · Computer Science 2023-10-24 Vasiliy Seibert

In dialogue generation, the naturalness of responses is crucial for effective human-machine interaction. Personalized response generation poses even greater challenges, as the responses must remain coherent and consistent with the user's…

Computation and Language · Computer Science 2025-06-18 Chih-Hao Hsu , Ying-Jia Lin , Hung-Yu Kao

In the early stages of architectural design, shoebox models are typically used as a simplified representation of building structures but require extensive operations to transform them into detailed designs. Generative artificial…

Graphics · Computer Science 2025-03-06 Xusheng Du , Ruihan Gui , Zhengyang Wang , Ye Zhang , Haoran Xie

Mechanical metamaterials utilize intricate architectural designs to achieve advanced properties beyond those of their bulk counterparts. Existing metamaterial designs often rely on design inspirations and extensive experimental and…

Generating emotional language is a key step towards building empathetic natural language processing agents. However, a major challenge for this line of research is the lack of large-scale labeled training data, and previous studies are…

Computation and Language · Computer Science 2018-05-15 Xianda Zhou , William Yang Wang

Despite astonishing progress, generating realistic images of complex scenes remains a challenging problem. Recently, layout-to-image synthesis approaches have attracted much interest by conditioning the generator on a list of bounding boxes…

Computer Vision and Pattern Recognition · Computer Science 2022-04-06 Stanislav Frolov , Prateek Bansal , Jörn Hees , Andreas Dengel

As humans, we experience the world with all our senses or modalities (sound, sight, touch, smell, and taste). We use these modalities, particularly sight and touch, to convey and interpret specific meanings. Multimodal expressions are…

Machine Learning · Computer Science 2022-05-17 Anirudh Sundar , Larry Heck

Text-to-3D generative AI systems create navigable environments from natural language prompts, but unlike text-to-image generation, evaluation requires embodied exploration of spatial coherence, scale, and navigability. We present the first…

Human-Computer Interaction · Computer Science 2026-03-17 Aung Pyae
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