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Found 4 papers, 2 papers with code
Transferring Foundation Models for Generalizable Robotic Manipulation
In this paper, we propose a novel paradigm that effectively leverages language-reasoning segmentation mask generated by internet-scale foundation models, to condition robot manipulation tasks.
AlphaBlock: Embodied Finetuning for Vision-Language Reasoning in Robot Manipulation
We propose a novel framework for learning high-level cognitive capabilities in robot manipulation tasks, such as making a smiley face using building blocks.
Text2Poster: Laying out Stylized Texts on Retrieved Images
Poster generation is a significant task for a wide range of applications, which is often time-consuming and requires lots of manual editing and artistic experience.
WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training
We further construct a large Chinese multi-source image-text dataset called RUC-CAS-WenLan for pre-training our BriVL model.
Ranked #1 on
Image Retrieval
on RUC-CAS-WenLan
