  Current 3D stylization methods often assume static scenes, which violates the
dynamic nature of our real world. To address this limitation, we present
S-DyRF, a reference-based spatio-temporal stylization method for dynamic neural
radiance fields. However, stylizing dynamic 3D scenes is inherently challenging
due to the limited availability of stylized reference images along the temporal
axis. Our key insight lies in introducing additional temporal cues besides the
provided reference. To this end, we generate temporal pseudo-references from
the given stylized reference. These pseudo-references facilitate the
propagation of style information from the reference to the entire dynamic 3D
scene. For coarse style transfer, we enforce novel views and times to mimic the
style details present in pseudo-references at the feature level. To preserve
high-frequency details, we create a collection of stylized temporal pseudo-rays
from temporal pseudo-references. These pseudo-rays serve as detailed and
explicit stylization guidance for achieving fine style transfer. Experiments on
both synthetic and real-world datasets demonstrate that our method yields
plausible stylized results of space-time view synthesis on dynamic 3D scenes.
