Do, Tiffany D Benjamin, Juanita Protko, Camille Isabella McMahan, Ryan P
Published in
IEEE transactions on visualization and computer graphics
Matching avatar characteristics to a user can impact sense of embodiment (SoE) in YR. However, few studies have examined how participant demographics may interact with these matching effects. We recruited a diverse and racially balanced sample of 78 participants to investigate the differences among participant groups when embodying both demographic...
Kageyama, Yuta Iwai, Daisuke Sato, Kosuke
Published in
IEEE transactions on visualization and computer graphics
Dynamic Projection Mapping (DPM) necessitates geometric compensation of the projection image based on the position and orientation of moving objects. Additionally, the projector's shallow depth of field results in pronounced defocus blur even with minimal object movement. Achieving delay-free DPM with high image quality requires real-time implement...
Liu, Richen Ye, Shunlong Ding, Zhifei Yang, Guang Cheng, Shenghui Mueller, Klaus
Published in
IEEE transactions on visualization and computer graphics
Numerous physical objects in our daily lives are grouped or ranked according to a stereotyped presentation style. For example, in a library, books are typically grouped and ranked based on classification numbers. However, for better comparison, we often need to re-group or re-rank the books using additional attributes such as ratings, publishers, c...
Hsuan Yuan, Chao-Wen Yu, Tzu-Wei Pan, Jia-Yu Lin, Wen-Chieh
Published in
IEEE transactions on visualization and computer graphics
Knowledge graphs have been commonly used to represent relationships between entities and are utilized in the industry to enhance service qualities. As knowledge graphs integrate data from a variety of sources, they can also be useful references for data analysts. However, there is a lack of effective tools to make the most of the rich information i...
Zhang, Jingbo Li, Xiaoyu Wan, Ziyu Wang, Can Liao, Jing
Published in
IEEE transactions on visualization and computer graphics
Text-driven 3D scene generation is widely applicable to video gaming, film industry, and metaverse applications that have a large demand for 3D scenes. However, existing text-to-3D generation methods are limited to producing 3D objects with simple geometries and dreamlike styles that lack realism. In this work, we present Text2NeRF, which is able t...
Kraft, Valentin Schumann, Christian Salzmann, Daniela Weyhe, Dirk Zachmann, Gabriel Schenk, Andrea
Published in
IEEE transactions on visualization and computer graphics
Accurate and fast understanding of the patient's anatomy is crucial in surgical decision making and particularly important in visceral surgery. Sophisticated visualization techniques such as 3D Volume Rendering can aid the surgeon and potentially lead to a benefit for the patient. Recently, we proposed a novel volume rendering technique called Adap...
Chen, Xiaoming Hu, Zeke Zexi Zhao, Guangxin Li, Haisheng Chung, Vera Quigley, Aaron
Published in
IEEE transactions on visualization and computer graphics
In cinematic VR applications, haptic feedback can significantly enhance the sense of reality and immersion for users. The increasing availability of emerging haptic devices opens up possibilities for future cinematic VR applications that allow users to receive haptic feedback while they are watching videos. However, automatically rendering haptic c...
Yan, Xu Yuan, Zhihao Du, Yuhao Liao, Yinghong Guo, Yao Cui, Shuguang Li, Zhen
Published in
IEEE transactions on visualization and computer graphics
Visual Question Answering on 3D Point Cloud (VQA-3D) is an emerging yet challenging field that aims at answering various types of textual questions given an entire point cloud scene. To tackle this problem, we propose the CLEVR3D, a large-scale VQA-3D dataset consisting of 171K questions from 8,771 3D scenes. Specifically, we develop a question eng...
Wang, Zhiquan Benes, Bedrich Qureshi, Ahmed H Mousas, Christos
Published in
IEEE transactions on visualization and computer graphics
We introduce a novel co-design method for autonomous moving agents' shape attributes and locomotion by combining deep reinforcement learning and evolution with user control. Our main inspiration comes from evolution, which has led to wide variability and adaptation in Nature and has significantly improved design and behavior simultaneously. Our met...
Zhan, Youyi Wang, Tuanfeng Y Shao, Tianjia Zhou, Kun
Published in
IEEE transactions on visualization and computer graphics
The fast growth of E-Commerce creates a global market worth USD 821 billion for online fashion shopping. What unique about fashion presentation is that, the same design can usually be offered with different cloths textures. However, only real video capturing or manual per-frame editing can be used for virtual showcase on the same design with differ...