A vision-language model that embeds 3D coordinates plus time into visual and linguistic tokens beats 3D-only models on dynamic scene captioning, grounding, and QA.
Git: A generative image-to-text transformer for vision and language
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
LLaVA-4D: Embedding SpatioTemporal Prompt into LMMs for 4D Scene Understanding
A vision-language model that embeds 3D coordinates plus time into visual and linguistic tokens beats 3D-only models on dynamic scene captioning, grounding, and QA.