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 …

Automated generation of 3D human motions from text is a challenging problem. The
generated motions are expected to be sufficiently diverse to explore the text-grounded …

We address the problem of generating diverse 3D human motions from textual descriptions.
This challenging task requires joint modeling of both modalities: understanding and …

We introduce MotionCLIP, a 3D human motion auto-encoder featuring a latent embedding
that is disentangled, well behaved, and supports highly semantic textual descriptions …

Inspired by the strong ties between vision and language, the two intimate human sensing
and communication modalities, our paper aims to explore the generation of 3D human full …

How can we animate 3D-characters from a movie script or move robots by simply telling
them what we would like them to do?" How unstructured and complex can we make a …

The understanding and acquisition of a language in a real-world environment is an
important task for future robotics services. Natural language processing and cognitive …

Generating animations from natural language sentences finds its applications in aa number
of domains such as movie script visualization, virtual human animation and, robot motion …

We develop a technique for generating smooth and accurate 3D human pose and motion
estimates from RGB video sequences. Our technique, which we call Motion Estimation via …

Natural language is leveraged in many computer vision tasks such as image captioning,
cross-modal retrieval or visual question answering, to provide fine-grained semantic …