Name
Title | ||
|---|---|---|
Text2Gestures: A Transformer-Based Network for Generating Emotive Body Gestures for Virtual Agents**This work has been supported in part by ARO Grants W911NF1910069 and W911NF1910315, and Intel. Code and additional materials available at: https://gamma.umd.edu/t2g |
Abstract | ||
|---|---|---|
We present Text2Gestures, a transformer-based learning method to interactively generate emotive full-body gestures for virtual agents aligned with natural language text inputs. Our method generates emotionally expressive gestures by utilizing the relevant biomechanical features for body expressions, also known as affective features. We also consider the intended task corresponding to the text and ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/VR50410.2021.00037 | 2021 IEEE Virtual Reality and 3D User Interfaces (VR) |
Keywords | DocType | ISBN |
Learning systems,Three-dimensional displays,Correlation,Databases,Natural languages,Pipelines,Graphics processing units | Conference | 978-1-6654-1838-6 |
Citations | PageRank | References |
0 | 0.34 | 35 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Uttaran Bhattacharya | 1 | 42 | 7.10 |
| Nicholas Rewkowski | 2 | 15 | 4.67 |
| Abhishek Banerjee | 3 | 146 | 5.32 |
| Pooja Guhan | 4 | 0 | 0.34 |
| Aniket Bera | 5 | 148 | 19.81 |
| Dinesh Manocha | 6 | 9551 | 787.40 |