We will generate questions, functional programs, and answers for the scenes. This step takes as input the single JSON file 3dssg_scenes.json containing all ...
In this paper, we introduce the Visual Question Answering task in 3D real-world scenes (VQA-3D), which aims to answer all possible questions given a 3D scene.
Dec 22, 2021 · To tackle this problem, we propose the CLEVR3D, a large-scale VQA-3D dataset consisting of 171K questions from 8,771 3D scenes. Specifically, we ...
Dec 22, 2021 · In this paper, we introduce the Visual Question Answering task in 3D real-world scenes (VQA-3D), which aims to answer all possible questions given a 3D scene.
Co-authors ; CLEVR3D: Compositional language and elementary visual reasoning for question answering in 3D real-world scenes. X Yan, Z Yuan, Y Du, Y Liao, Y Guo, ...
We refer to this dataset as the Compositional Language and. Elementary Visual Reasoning diagnostics dataset (CLEVR; pronounced as clever in homage to Hans).
Missing: CLEVR3D: | Show results with:CLEVR3D:
We introduce a large-scale dataset CLEVR3D for the task of VQA-3D, where 171K questions from 8,771 real-world 3D scenes are provided. •. We propose a ...
CLEVR3D: Compositional Language and Elementary Visual Reasoning for Question Answering in 3D Real-World Scenes · Preprint. December 2021. ·. 42 Reads. Xu Yan.
Questions test aspects of visual reasoning such as attribute identification, counting, comparison, multiple attention, and logical operations. is exemplified by ...
Missing: CLEVR3D: | Show results with:CLEVR3D:
May 30, 2024 · In this work, we introduce the task of 3D-aware VQA, which focuses on challenging questions that require a compositional reasoning over the 3D ...