Published · live demonstration

ASAP: Auto-generating Storyboard and Previz

Hanseob Kim · Ghazanfar Ali · Bin Han · Hwangyoun Kim · Jieun Kim · Jae-In Hwang

2022 · SIGGRAPH Asia Real-Time Live! · Event 2022; online record 2023

A live demonstration of screenplay-driven virtual actors.

Research illustration for ASAP live demonstration
Research illustration

From the paper

Author abstract

We present ASAP, a system that uses virtual humans to Automatically generate Storyboards And Pre-visualized scenes from movie scripts. In our ASAP system, virtual humans play the role of actors. To visualize the screenplay scene, our system understands the movie script, which is the text data, and then facilitates the automatic generation of the following virtual human’s non-/verbal behavior: (1) co-speech gesture, (2) facial expression, and (3) body movements. First of all, co-speech gestures are created from dialogue paragraphs using a text-to-gesture model trained with 2D videos and 3D motion-captured data. Next, for the facial expressions, we interpret the actors’ emotions in the parenthetical paragraphs and then adjust the virtual human’s face animation to reflect emotions such as anger and sadness. For body movements, our system extract action entities from action paragraphs (e.g., subject, target, and action) and then combine sets of animations to make animation sequences (e.g., a man’s act of sitting on a bed). As soon as possible, ASAP can reduce the amount of time, money, and labor-intensive work that needs to be done in the early stages of filmmaking.

Author-written abstract · Source record

In plain language

What this work does

The SIGGRAPH Asia Real-Time Live! presentation shows ASAP turning screenplay text into virtual-actor scenes. Dialogue drives co-speech gesture, parentheticals supply emotional cues, and action paragraphs specify physical movements. The video is the live demonstration of this system.

  1. 01Movie script
  2. 02Gesture + expression + action
  3. 03Live virtual-actor scene

At a glance

Method, evidence, and scope

Scientific method schematic for asap-live
Graphical abstract diagram. Screenplay structure drives coordinated virtual-actor behavior and previsualization. View full size
Method and evidence for ASAP live demonstration
InputMovie-script dialogue, parentheticals, and action paragraphs
OutputVirtual-actor scenes, gestures, facial expression, and body movements
MethodScript understanding and composition of animation modules
Data and scopeDemonstration scenarios
EvaluationReal-Time Live! demonstration; no journal benchmark is attributed to this item
LimitationsThis demonstration and its one-page publication are distinct from the ISMAR and journal papers.

Watch the system

SIGGRAPH Asia 2022 Real-Time Live! presentation

Open on YouTube · MRLab video gallery

Implementation and artifacts

Code and setup

Independent implementation of the paper’s core ideas, with setup instructions and data preparation documented in the repository README. The institute’s original source, datasets and trained models are not distributed.

Browse code and setup guide

Reference this work

Citation

Hanseob Kim, Ghazanfar Ali, Bin Han, Hwangyoun Kim, Jieun Kim, Jae-In Hwang. ASAP: Auto-generating Storyboard and Previz. SIGGRAPH Asia Real-Time Live!, 2022. Pages 1-1. DOI: 10.1145/3550453.3570124.

Download BibTeX
@inproceedings{asaplive2022,
  title = {{ASAP: Auto-generating Storyboard and Previz}},
  author = {Kim, Hanseob and Ali, Ghazanfar and Han, Bin and Kim, Hwangyoun and Kim, Jieun and Hwang, Jae-In},
  year = {2022},
  booktitle = {SIGGRAPH Asia Real-Time Live!},
  pages = {1-1},
  doi = {10.1145/3550453.3570124},
  url = {https://ghazanfarali.com/research/asap-live/}
}