A first large multimodal 4D human–dog interaction dataset (6.8M frames) plus an autoregressive model that generates dog motion from human body/hand gestures and audio.
In: Computer Vision – ECCV 2024: 18th Eu- ropean Conference, Milan, Italy, September 29–October 4
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
InterPet4D: A Multimodal 4D Human-Pet Interaction Dataset for Pet Motion Generation
A first large multimodal 4D human–dog interaction dataset (6.8M frames) plus an autoregressive model that generates dog motion from human body/hand gestures and audio.