Though the advancement of pre-trained large language models unfolds, the exploration of
building a unified model for language and other multimodal data, such as motion, remains …

We study a challenging task, conditional human motion generation, which produces
plausible human motion sequences according to various conditional inputs, such as action …

While current monocular 3D face reconstruction methods can recover fine geometric details,
they suffer several limitations. Some methods produce faces that cannot be realistically …

Recently, a lot of attention has been focused on the incorporation of 3D data into face
analysis and its applications. Despite providing a more accurate representation of the face …

3D face reconstruction algorithms from images and videos are applied to many fields, from
plastic surgery to the entertainment sector, thanks to their advantageous features. However …

Limited by the nature of the low-dimensional representational capacity of 3DMM, most of the
3DMM-based face reconstruction (FR) methods fail to recover high-frequency facial details …

Recent advancements in language models have demonstrated their adeptness in
conducting multi-turn dialogues and retaining conversational context. However, this …

We present a single-image 3D face synthesis technique that can handle challenging facial
expressions while recovering fine geometric details. Our technique employs expression …

Human modeling and relighting are two fundamental problems in computer vision and
graphics, where high-quality datasets can largely facilitate related research. However, most …

Deep learning models, though having achieved great success in many different fields over
the past years, are usually data-hungry, fail to perform well on unseen samples, and lack …