2nd Workshop on Generation of Human Face and Body Behavior, GHB 2025 Call for Papers

2nd Workshop on Generation of Human Face and Body Behavior, GHB 2025

September 16th, 2025

https://sites.google.com/unifi.it/ghb2025/

In conjunction with ICIAP 2025, Sept. 15-19, 2025

Rome, Italy

 

CALL FOR PAPERS

Human behavior, both for face and body has been studied in detail (for
example for expression / action classification and prediction), but
there have been few works exploring generation of novel
behaviors. Generating novel sequences of human facial expression,
talking heads, or body to form a natural and plausible action with
continuous and smooth temporal dynamics is a challenging
problem. These motions can either simulate full body movement, like
for gait, or part specific movement, like in playing the guitar or
phone call, or involve facial expressions, action units or even mouth
movement when a person speaks or reads a text. With the advent of
powerful generative models such as Generative Adversarial Networks
(GAN), or Diffusion models, novel data generation paradigms have
become possible, and these networks have shown to be powerful in many
image generation tasks. However, many issues remain to be solved
especially when passing from the static to the dynamic case and new
research problems emerge. For example, what are the appropriate
architectures and loss functions to generate dynamic facial
expressions, actions, in 2D or in 3D? Which are the best objective and
subjective methods to evaluate the generative models? Is it possible
to generate long dynamic sequences with natural transitions between
different expressions or actions?

We expect generating synthetic and realistic static and dynamic data
of humans can have a big impact in several different contexts. A
straightforward outcome that developing such techniques could have, is
that of generating an abundance and variety of new data that could be
otherwise difficult, very expensive and time consuming to obtain from
reality. Such data can be essential in simulation, virtual and
augmented reality, in training more robust learning tools, to cite a
few. For example, we could expect new applications in the game and
movie industry, where fully synthetic actors could be used in the near
future, without the need of explicit modeling. We expect this workshop
could help to make a step in these research directions, also focusing
on new evaluation methodologies that could make quantitative rather
than qualitative the assessment and comparison of generated data. With
respect to this latter aspect, we expect the public release of new
benchmarks, especially in 3D could help to improve the research in
this field. Finally, there is quite debate in society and in the
scientific community too about ethical implications related to
generating synthetic and realistic humans’ data. We also aim to
have discussion on these social and ethical implications at the
workshop. The goal of this workshop is to provide contributions to
this emerging field of study.


TOPICS

The goal of this workshop is to provide contributions to this emerging
field of study. Topics of interest of this workshop include but are
not limited to:

    2D and 3D static and dynamic content generation
    2D and 3D facial expression generation
    Talking heads generation
    Actions generation
    Behavior generation
    Human-human interaction generation
    Human-object interaction generation
    Evaluation of generative models
    New benchmarks
    Reduce ethical issues in human data generation
    Applications (data augmentation, simulation, VA, medical, robotics)

 

Important dates

Papers submission deadline: June 20th, 2025 

https://easychair.org/conferences?conf=ghb2025

Authors notification: July 7th, 2025

Camera ready deadline: July 10th, 2025

Workshop date and venue: September 16th, 2025, Rome, Italy